diff --git a/Part1/PROJ_WIN/CIS565_PROJ_1.suo b/Part1/PROJ_WIN/CIS565_PROJ_1.suo
index ad46c84..ea4db1d 100644
Binary files a/Part1/PROJ_WIN/CIS565_PROJ_1.suo and b/Part1/PROJ_WIN/CIS565_PROJ_1.suo differ
diff --git a/Part1/PROJ_WIN/CIS565_PROJ_1/CIS565_PROJ_1.vcxproj b/Part1/PROJ_WIN/CIS565_PROJ_1/CIS565_PROJ_1.vcxproj
index 4c88226..6b18a53 100644
--- a/Part1/PROJ_WIN/CIS565_PROJ_1/CIS565_PROJ_1.vcxproj
+++ b/Part1/PROJ_WIN/CIS565_PROJ_1/CIS565_PROJ_1.vcxproj
@@ -30,7 +30,7 @@
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   <Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
   <ImportGroup Label="ExtensionSettings">
-    <Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA 5.5.props" />
+    <Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA 6.5.props" />
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   <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
     <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
@@ -114,6 +114,6 @@
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   <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
   <ImportGroup Label="ExtensionTargets">
-    <Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA 5.5.targets" />
+    <Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA 6.5.targets" />
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 </Project>
\ No newline at end of file
diff --git a/Part1/PROJ_WIN/CIS565_PROJ_1/vc100.pdb b/Part1/PROJ_WIN/CIS565_PROJ_1/vc100.pdb
index b662f85..a8d758a 100644
Binary files a/Part1/PROJ_WIN/CIS565_PROJ_1/vc100.pdb and b/Part1/PROJ_WIN/CIS565_PROJ_1/vc100.pdb differ
diff --git a/Part1/PROJ_WIN/src/kernel.cu.deps b/Part1/PROJ_WIN/src/kernel.cu.deps
index 926dd55..40706f5 100644
--- a/Part1/PROJ_WIN/src/kernel.cu.deps
+++ b/Part1/PROJ_WIN/src/kernel.cu.deps
@@ -1,568 +1,568 @@
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+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfwrap1
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xxshared
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\istream
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\ostream
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\ios
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xlocnum
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\streambuf
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xiosbase
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xlocale
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\stdexcept
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xstring
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xlocinfo
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xlocinfo.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\ctype.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\crtdefs.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\locale.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\crtdefs.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xdebug
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\system_error
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\cerrno
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\errno.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\crtdefs.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\share.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\iterator
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\sstream
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\string
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\vector
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\xfunctional
+c:\users\zhen gou\documents\visual studio 2010\projects\project-1\part1\src\cudaMat4.h
+c:\users\zhen gou\documents\visual studio 2010\projects\project-1\part1\src\glm/glm.hpp
+c:\users\zhen gou\documents\visual studio 2010\projects\project-1\part1\src\glm\core/_fixes.hpp
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\cuda_runtime.h
+c:\users\zhen gou\documents\visual studio 2010\projects\project-1\part1\src\kernel.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/config.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/simple_defines.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/compiler.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\cuda.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/host_system.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/device_system.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/host_device.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\host_defines.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/debug.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/compiler_fence.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/forceinline.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/hd_warning_disable.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/config/global_workarounds.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/cstdint.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/discard_block_engine.h
+C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\include\iostream
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/random_core_access.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/discard_block_engine.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/linear_congruential_engine.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/linear_congruential_engine_discard.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/mod.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/linear_congruential_engine.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/linear_feedback_shift_engine.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/linear_feedback_shift_engine_wordmask.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/linear_feedback_shift_engine.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/subtract_with_carry_engine.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/subtract_with_carry_engine.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/xor_combine_engine.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/type_traits.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/type_traits/has_trivial_assign.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/xor_combine_engine_max.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/mpl/math.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/xor_combine_engine.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/uniform_int_distribution.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/pair.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/pair.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/swap.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/detail/integer_traits.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/uniform_int_distribution.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/uniform_real_distribution.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/uniform_real_distribution.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/normal_distribution.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/normal_distribution_base.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\thrust/random/detail/normal_distribution.inl
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\math_constants.h
+C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\cuda.h
diff --git a/Part1/resources/Thumbs.db b/Part1/resources/Thumbs.db
new file mode 100644
index 0000000..1ad1aaa
Binary files /dev/null and b/Part1/resources/Thumbs.db differ
diff --git a/Part1/src/kernel.cu b/Part1/src/kernel.cu
index ee9b9e5..a343bb0 100644
--- a/Part1/src/kernel.cu
+++ b/Part1/src/kernel.cu
@@ -9,7 +9,7 @@
 dim3 threadsPerBlock(blockSize);
 
 int numObjects;
-const float planetMass = 3e8;
+const float planetMass = 3e7;
 const __device__ float starMass = 5e10;
 
 const float scene_scale = 2e2; //size of the height map in simulation space
@@ -87,21 +87,55 @@ __global__ void generateCircularVelArray(int time, int N, glm::vec3 * arr, glm::
 //		 HINT : You may want to write a helper function that will help you 
 //              calculate the acceleration contribution of a single body.
 //		 REMEMBER : F = (G * m_a * m_b) / (r_ab ^ 2)
+
 __device__  glm::vec3 accelerate(int N, glm::vec4 my_pos, glm::vec4 * their_pos)
 {
-    return glm::vec3(0.0f);
+	int index = (blockIdx.x * blockDim.x) + threadIdx.x;
+	glm::vec3 totalF(0.0f);
+	for(int i = 0;i < N; i ++)
+	{
+		if(i!=index) totalF += universalForce(my_pos, their_pos[i]); //????
+	}
+
+	totalF += universalForce(my_pos,glm::vec4(0.0f,0.0f,0.0f,starMass));
+
+	return totalF;
+}
+
+
+__device__ glm::vec3 universalForce(glm::vec4 pos1,glm::vec4 pos2)
+{
+	glm::vec3 dir = glm::vec3(pos2) - glm::vec3(pos1);
+	float r = glm::length(dir);
+	//to prevent two planets getting too close and blow up the force
+	if(r<1.0f) return glm::vec3(0.0f);
+	glm::vec3 F =(float) G * dir *pos2.w /(r*r*r);
+	return F;
 }
 
 // TODO : update the acceleration of each body
 __global__ void updateF(int N, float dt, glm::vec4 * pos, glm::vec3 * vel, glm::vec3 * acc)
 {
 	// FILL IN HERE
+	int index =(blockIdx.x * blockDim.x) + threadIdx.x;
+	if(index<N)
+	{
+		acc[index] = accelerate(N,pos[index],pos);
+	}
 }
 
 // TODO : update velocity and position using a simple Euler integration scheme
 __global__ void updateS(int N, float dt, glm::vec4 * pos, glm::vec3 * vel, glm::vec3 * acc)
 {
 	// FILL IN HERE
+	int index = (blockIdx.x * blockDim.x) + threadIdx.x;
+	if(index<N)
+	{
+		vel[index] += dt * (acc[index]);
+		pos[index].x += dt * (vel[index].x);
+		pos[index].y += dt * (vel[index].y);
+		pos[index].z += dt * (vel[index].z);
+	}
 }
 
 // Update the vertex buffer object
@@ -179,7 +213,11 @@ void initCuda(int N)
 // TODO : Using the functions you wrote above, write a function that calls the CUDA kernels to update a single sim step
 void cudaNBodyUpdateWrapper(float dt)
 {
-	// FILL IN HERE
+    dim3 fullBlocksPerGrid((int)ceil(float(numObjects)/float(blockSize)));
+
+	updateF<<<fullBlocksPerGrid, blockSize>>>(numObjects,dt,dev_pos,dev_vel,dev_acc);
+	updateS<<<fullBlocksPerGrid, blockSize>>>(numObjects,dt,dev_pos,dev_vel,dev_acc);
+    cudaThreadSynchronize();
 }
 
 void cudaUpdateVBO(float * vbodptr, int width, int height)
diff --git a/Part1/src/kernel.h b/Part1/src/kernel.h
index 8b6fe35..cdcb9e3 100644
--- a/Part1/src/kernel.h
+++ b/Part1/src/kernel.h
@@ -6,13 +6,14 @@
 #include <cuda.h>
 #include <cmath>
 
-#define blockSize 128
+#define blockSize 1024
 #define checkCUDAErrorWithLine(msg) checkCUDAError(msg, __LINE__)
 #define SHARED 0
 
 void checkCUDAError(const char *msg, int line);
 void cudaNBodyUpdateWrapper(float dt);
 void initCuda(int N);
+glm::vec3 universalForce(glm::vec4 pos1,glm::vec4 pos2);
 void cudaUpdatePBO(float4 * pbodptr, int width, int height);
 void cudaUpdateVBO(float * vbodptr, int width, int height);
 #endif
diff --git a/Part1/src/main.cpp b/Part1/src/main.cpp
index ea86207..268699e 100644
--- a/Part1/src/main.cpp
+++ b/Part1/src/main.cpp
@@ -62,7 +62,7 @@ void runCuda()
     // execute the kernel
     cudaNBodyUpdateWrapper(DT);
 #if VISUALIZE == 1
-    cudaUpdatePBO(dptr, field_width, field_height);
+    //cudaUpdatePBO(dptr, field_width, field_height);
     cudaUpdateVBO(dptrvert, field_width, field_height);
 #endif
     // unmap buffer object
diff --git a/Part2/Project2/Project1/Project1.vcxproj b/Part2/Project2/Project1/Project1.vcxproj
new file mode 100644
index 0000000..2d26d4a
--- /dev/null
+++ b/Part2/Project2/Project1/Project1.vcxproj
@@ -0,0 +1,78 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup Label="ProjectConfigurations">
+    <ProjectConfiguration Include="Debug|Win32">
+      <Configuration>Debug</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|Win32">
+      <Configuration>Release</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+  </ItemGroup>
+  <ItemGroup>
+    <CudaCompile Include="matrix_math.cu" />
+  </ItemGroup>
+  <PropertyGroup Label="Globals">
+    <ProjectGuid>{0B2C1FC2-1FB8-4813-A8B5-BDD9B296214F}</ProjectGuid>
+    <RootNamespace>Project1</RootNamespace>
+  </PropertyGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>true</UseDebugLibraries>
+    <PlatformToolset>v110</PlatformToolset>
+    <CharacterSet>MultiByte</CharacterSet>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'" Label="Configuration">
+    <ConfigurationType>Application</ConfigurationType>
+    <UseDebugLibraries>false</UseDebugLibraries>
+    <PlatformToolset>v110</PlatformToolset>
+    <WholeProgramOptimization>true</WholeProgramOptimization>
+    <CharacterSet>MultiByte</CharacterSet>
+  </PropertyGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
+  <ImportGroup Label="ExtensionSettings">
+    <Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA 6.5.props" />
+  </ImportGroup>
+  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
+  </ImportGroup>
+  <PropertyGroup Label="UserMacros" />
+  <PropertyGroup />
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <Optimization>Disabled</Optimization>
+      <SDLCheck>true</SDLCheck>
+    </ClCompile>
+    <Link>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <AdditionalDependencies>kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;cudart.lib;%(AdditionalDependencies)</AdditionalDependencies>
+    </Link>
+    <CudaCompile>
+      <Include>$(CudaToolkitIncludeDir)</Include>
+    </CudaCompile>
+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <Optimization>MaxSpeed</Optimization>
+      <FunctionLevelLinking>true</FunctionLevelLinking>
+      <IntrinsicFunctions>true</IntrinsicFunctions>
+      <SDLCheck>true</SDLCheck>
+    </ClCompile>
+    <Link>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <EnableCOMDATFolding>true</EnableCOMDATFolding>
+      <OptimizeReferences>true</OptimizeReferences>
+    </Link>
+  </ItemDefinitionGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
+  <ImportGroup Label="ExtensionTargets">
+    <Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA 6.5.targets" />
+  </ImportGroup>
+</Project>
\ No newline at end of file
diff --git a/Part2/Project2/Project1/Project1.vcxproj.filters b/Part2/Project2/Project1/Project1.vcxproj.filters
new file mode 100644
index 0000000..f07abd3
--- /dev/null
+++ b/Part2/Project2/Project1/Project1.vcxproj.filters
@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup>
+    <Filter Include="Source Files">
+      <UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>
+      <Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>
+    </Filter>
+    <Filter Include="Header Files">
+      <UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>
+      <Extensions>h;hpp;hxx;hm;inl;inc;xsd</Extensions>
+    </Filter>
+    <Filter Include="Resource Files">
+      <UniqueIdentifier>{67DA6AB6-F800-4c08-8B7A-83BB121AAD01}</UniqueIdentifier>
+      <Extensions>rc;ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe;resx;tiff;tif;png;wav;mfcribbon-ms</Extensions>
+    </Filter>
+  </ItemGroup>
+  <ItemGroup>
+    <CudaCompile Include="matrix_math.cu">
+      <Filter>Source Files</Filter>
+    </CudaCompile>
+  </ItemGroup>
+</Project>
\ No newline at end of file
diff --git a/Part2/Project2/Project1/matrix_math.cu b/Part2/Project2/Project1/matrix_math.cu
new file mode 100644
index 0000000..56bcc1d
--- /dev/null
+++ b/Part2/Project2/Project1/matrix_math.cu
@@ -0,0 +1,134 @@
+#include <cuda.h>
+#include <cuda_runtime.h>
+#include <iostream>
+
+__global__ void dev_matrix_add(int dim, float * A, float * B, float * result)
+{
+	int row = (blockIdx.y * blockDim.y) + threadIdx.y;
+	int col = (blockIdx.x * blockDim.x) + threadIdx.x;
+	if(row < dim && col < dim) result[row * dim + col] = A[row * dim + col] + B[row * dim + col];
+}
+
+__global__ void dev_matrix_sub(int dim, float * A, float * B, float * result)
+{
+	int row = (blockIdx.y * blockDim.y) + threadIdx.y;
+	int col = (blockIdx.x * blockDim.x) + threadIdx.x;
+	if(row < dim && col < dim) result[row * dim + col] = A[row * dim + col] - B[row * dim + col];
+}
+
+__global__ void dev_matrix_mult(int dim, float * A, float * B, float * result)
+{
+	int row = (blockIdx.y * blockDim.y) + threadIdx.y;
+	int col = (blockIdx.x * blockDim.x) + threadIdx.x;
+	if(row >= dim || col >= dim) return;
+	float sum = 0.0f;
+	for (int i = 0; i < dim; i++)
+	{
+		sum += A[row * dim + i] * B[col * dim + i];
+	}
+
+	result[row * dim + col] = sum;
+}
+
+__global__ void dev_initialize(int dim, float * tar, float val)
+{
+	int row = (blockIdx.y * blockDim.y) + threadIdx.y;
+	int col = (blockIdx.x * blockDim.x) + threadIdx.x;
+	if(row >= dim || col >= dim) return;
+	tar[row * dim + col] = val;
+}
+
+void matrix_add(int dim, float * A, float * B, float * result)
+{
+	for(int row = 0; row < dim; row++)
+	{
+		for(int col = 0; col < dim; col++)
+		{
+			result[row * dim + col] = A[row * dim + col] + B[row * dim + col];
+		}
+	}
+}
+
+void matrix_sub(int dim, float * A, float * B, float * result)
+{
+	for(int row = 0; row < dim; row++)
+	{
+		for(int col = 0; col < dim; col++)
+		{
+			result[row * dim + col] = A[row * dim + col] - B[row * dim + col];
+		}
+	}
+}
+
+void matrix_mult(int dim, float * A, float * B, float * result)
+{
+	for(int row = 0; row < dim; row++)
+	{
+		for(int col = 0; col < dim; col++)
+		{
+			float sum = 0.0f;
+			for (int i = 0; i < dim; i++)
+			{
+				sum += A[row * dim + i] * B[col * dim + i];
+			}
+			result[row * dim + col] = sum;
+		}
+	}
+}
+
+int main(int argc, char** argv)
+{
+	float * A, *B, * result, * dev_A, * dev_B, * dev_result;
+	int M(4);
+	int tileWidth = 2;
+	int N = M * M * sizeof(float);
+
+	A = (float*) malloc( N);
+	B = (float*) malloc(N);
+	result = (float*) malloc(N);
+
+	cudaMalloc((void**) & dev_A, N);
+	cudaMalloc((void**) & dev_B, N);
+	cudaMalloc((void**) & dev_result,N);
+
+	//initialize 
+	for(int i = 0;i<M*M;i++)
+	{
+		A[i] = 1.0f;
+		B[i] = 2.0f;
+	}
+
+	cudaMemcpy(dev_A,A,N,cudaMemcpyHostToDevice);
+	cudaMemcpy(dev_B,B,N,cudaMemcpyHostToDevice);
+
+	dim3 gridDim((int)ceil((float)M/(float)tileWidth),(int)ceil((float)M/(float)tileWidth));
+	dim3 blockDim(tileWidth,tileWidth);
+	//dev_initialize<<<gridDim,blockDim>>>(M,dev_A,1.0f);
+	//dev_initialize<<<gridDim,blockDim>>>(M,dev_B,1.0f);
+	dev_matrix_mult<<<gridDim,blockDim>>>(M,dev_A,dev_B,dev_result);
+
+
+	cudaMemcpy(result, dev_result,N,cudaMemcpyDeviceToHost);
+
+	//display matrix
+	std::cout<<"matrix A:"<<std::endl;
+	for(int i = 0;i<M*M;i++)
+	{
+		std::cout<<A[i]<<" ";
+	}
+
+	std::cout<<std::endl<<"matrix B:"<<std::endl;
+	for(int i = 0;i<M*M;i++)
+	{
+		std::cout<<B[i]<<" ";
+	}
+
+	std::cout<<std::endl<<"result:"<<std::endl;
+	for(int i = 0;i<M*M;i++)
+	{
+		std::cout<<result[i]<<" ";
+	}
+	std::cin.get();
+    return 0;
+}
+
diff --git a/Part2/Project2/Project2.sln b/Part2/Project2/Project2.sln
new file mode 100644
index 0000000..f83c37d
--- /dev/null
+++ b/Part2/Project2/Project2.sln
@@ -0,0 +1,20 @@
+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio 2012
+Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "Project1", "Project1\Project1.vcxproj", "{0B2C1FC2-1FB8-4813-A8B5-BDD9B296214F}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Win32 = Debug|Win32
+		Release|Win32 = Release|Win32
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{0B2C1FC2-1FB8-4813-A8B5-BDD9B296214F}.Debug|Win32.ActiveCfg = Debug|Win32
+		{0B2C1FC2-1FB8-4813-A8B5-BDD9B296214F}.Debug|Win32.Build.0 = Debug|Win32
+		{0B2C1FC2-1FB8-4813-A8B5-BDD9B296214F}.Release|Win32.ActiveCfg = Release|Win32
+		{0B2C1FC2-1FB8-4813-A8B5-BDD9B296214F}.Release|Win32.Build.0 = Release|Win32
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+EndGlobal
diff --git a/README.md b/README.md
index 70ae0d3..5abd94f 100644
--- a/README.md
+++ b/README.md
@@ -1,120 +1,36 @@
 Project 1
 =========
 
-# Project 1 : Introduction to CUDA
+Performance Analysis
 
-## NOTE :
-This project (and all other projects in this course) requires a NVIDIA graphics
-card with CUDA capabilityi!  Any card with compute capability 2.0 and up will
-work.  This means any card from the GeForce 400 and 500 series and afterwards
-will work.  If you do not have a machine with these specs, feel free to use
-computers in the SIG Lab.  All computers in SIG lab and Moore 100 C have CUDA 
-capable cards and should already have the CUDA SDK installed. 
-
-## PART 1 : INSTALL NSIGHT
-To help with benchmarking and performance analysis, we will be using NVIDIA's
-profiling and debugging tool named NSight. Download and install it from the
-following link for whichever IDE you will be using:
-http://www.nvidia.com/object/nsight.html. 
-
-NOTE : If you are using Linux / Mac, most of the screenshots and class usage of
-NSight will be in Visual Studio.  You are free to use to the Eclipse version
-NSight during these in class labs, but we will not be able to help you as much.
-
-## PART 2 : NBODY SIMULATION
-To get you used to using CUDA kernels, we will be writing a simple 2D nbody 
-simulator.  The following source files are included in the project:
-
-* main.cpp : sets up graphics stuff for visualization
-* kernel.cu : this contains the CUDA kernel calls
-
-All the code that you will need to modify is in kernel.cu and is marked clearly
-by TODOs.
-
-## PART 3 : MATRIX MATH
-In this portion we will walk you through setting up a project that writes some
-simple matrix math functions. Please put this portion in a folder marked Part2
-in your repository. 
-
-### Step 1 : Create your project.
-Using the instructions on the Google forum, please set up a new Visual Studio project that
-compiles using CUDA. For uniformity, please write your main function and all
-your code in a file named matrix_math.cu.
-
-### Step 2 : Setting up CUDA memory.
-As we discussed in class, there is host memory and device memory.  Host memory
-is the memory that exists on the CPU, whereas device memory is memory on the
-GPU.  
-
-In order to create/reserve memory on the GPU, we need to explicitly do so
-using cudaMalloc.  By calling cudaMalloc, we are calling malloc on the GPU to
-reserve a portion of its memory.  Like malloc, cudaMalloc simply mallocs a
-portion of memory and returns a pointer. This memory is only accessible on the
-device unless we explicitly copy memory from the GPU to the CPU.  The reverse is
-also true.  
-
-We can copy memory to and from the GPU using the function cudaMemcpy. Like the
-POSIX C memcpy, you will need to specify the size of memory you are copying.
-The last argument is used to specify the direction of the copy (from GPU to CPU
-or the other way around).
-
-Please initialize 2 5 x 5 matrices represented as an array of floats on the CPU
-and the GPU where each of the entry is equal to its position (i.e. A_00 = 0,
-A_01 = 1, A_44 = 24). 
+* How does changing the tile and block sizes change performance? Why?
 
-### Step 3 : Creating CUDA kernels. 
-In the previous part, we explicitly divided the CUDA kernels from the rest of
-the file for stylistic purposes.  Since there will be far less code in this
-project, we will write the global and device functions in the same file as the
-main function.
+numPlanets = 5000
+tile/blockSize: 128   256   512   1024
+	   FPS:	1.43  1.41  1.39  1.39
 
-Given a matrix A and matrix B (both represented as arrays of floats), please
-write the following functions :
-* mat_add : A + B
-* mat_sub : A - B
-* mat_mult : A * B
+Chaning the tile/block size doesn't seem to have noticeable effects on performance because no matter the block size, the threads were running in parallel,
+and since no shared memory or register was utilized, there was no difference in reading from memory either.
 
-You may assume for all matrices that the dimensions of A and B are the same and
-that they are square.
 
-Use the 2 5 x 5 matrices to test your code either by printing directly to the
-console or writing an assert.
 
-THINGS TO REMEMBER :
-* global and device functions only have access to memory that is explicitly on
-  the device, meaning you MUST copy memory from the CPU to the GPU if you would
-  like to use it there
-* The triple triangle braces "<<<" begin and end the global function call.  This
-  provides parameters with which CUDA uses to set up tile size, block size and
-  threads for each warp.
-* Do not fret if Intellisense does not understand CUDA keywords (if they have
-  red squiggly lines underneath CUDA keywords).  There is a way to integrate
-  CUDA syntax highlighting into Visual Studio, but it is not the default.
+* How does changing the number of planets change performance? Why?
 
-### Step 4 : Write a serial version.
-For comparison, write a single-threaded CPU version of mat_add, mat_sub and
-mat_mult. We will not introduce timing elements in this project, but please
-keep them in mind as the upcoming lab will introduce more on this topic. 
+(without removing sendToPBO())
+numPlanets: 5000   2500   1250   600   300   150
+       FPS: 1.43   2.84   5.64   11.6  22.6  43.01
 
-## PART 4 : PERFORMANCE ANALYSIS
-Since this is the first project, we will guide you with some example
-questions.  In future projects, please answer at least these questions, as
-they go through basic performance analysis.  Please go above and beyond the
-questions we suggest and explore how different aspects of your code impact
-performance as a whole. 
+From the data it's clear that the run time is in linear relationship with numPlanets.
+The reason is that the outerloop that goes through each planet and accelerates it was 
+implemented in parallel and the inner loop that calculates contribution from all other planets wasn't 
+in parallel leaving us a O(N) on numPlanets.
 
-We have provided a frame counter as a metric, but feel free to add cudaTimers,
-etc. to do more fine-grained benchmarking of various aspects. 
 
-NOTE : Performance should be measured in comparison to a baseline.  Be sure to
-describe the changes you make between experiments and how you are benchmarking.
 
-* How does changing the tile and block sizes change performance? Why?
-* How does changing the number of planets change performance? Why?
 * Without running experiments, how would you expect the serial and GPU verions
   of matrix_math to compare?  Why?
 
-## SUBMISSION
-Please commit your changes to your forked version of the repository and open a
-pull request.  Please write your performance analysis in your README.md.
-Remember to email Harmony (harmoli+CIS565@seas.upenn.edu) your grade and why.
+I expect the GPU version has O(N) on dimension of the input matrix but O(N^3) for the CPU version because the two 
+outer loops in the GPU version was done in parallel.
+
+