Recently, I need to start iPhone App programming in the project I am working.
Here are some useful references for beginners.
[Books]
1) Dave Mark and Jeff LaMarche, "Beginning iPhong Development", Apress, 2009.
2) Erica Sadun, "The iPhone Developer's Cookbook", Addison-Wesley, 2008.
3) "Learn Objective-C on the Mac", 2009.
[e-Books]
1) Bert Altenberg, Alex Clarke and Philippe Mougin, "Becom an Xcoder", 2008.
2) "Learn Objective-C 2.0 Language"
[Webpages]
1) Apple's iPhone Dev Center
2) Stanford University, CS 193P "iPhone Application Programming"
3) CocoaLab
4) Jeff LaMarche's iPhone Programming Blog
Sunday, July 12, 2009
Tuesday, June 2, 2009
Tuesday, April 21, 2009
GPU programming using CUDA: Study #1
Study material source
CUDA U [Education] Exercise
Methods : See CUDA Reference Manual for details.
1. Allocate host memory and device memory
cudaMalloc(void **devPtr, size_t count): allocate memory on the GPU
cudaMallocHost(void **hostPtr, size_t size): allocate page-locked memory on the host
2. Copy memory host to device, device to device, and device to host
cudaMemcpy(void *dst, const void *src, size_t count, enum cudaMemcpyKind kind): copies data between GPU and host
cudaMemcpyKind: cudaMemcpyHostToDevice, cudaMemcpyDeviceToDevice, cudaMemcpyDeviceToHost
3. Free host and device memory
cudaFree(void *devPtr): frees memory on the GPU
4. Block until all threads in the block have written their data to shared memory
__syncthreads(); // called on the GPU
5. Block until the device has completed
cudaThreadSynchronize(); // called on the host
Kernel configuration and Launch
dim3 dimGrid(1024);
dim3 dimBlock(256);
kernel_name <<< dimGrid, dimBlock>>>(kernel_arguments);
1D Indexing
single block:
int idx = threadIdx.x;
int reversed_idx = blockDim.x - 1 - threadIdx.x;
multi blocks:
int offset = blockIdx.x * blockDim.x;
int idx = offset + threadIdx.x;
int reversed_offset = blockDim.x * (gridDim.x - 1 - blockIdx.x);
int reversed_threadIdx = blockDim.x - 1 - threadIdx.x;
int reversed_idx = reversed_offset + reversed_threadIdx;
Using shared memory
Declaration:
extern __shared__ int s_data[];
Terminology
1. Host: CPU
2. Device: GPU
3. Kernel: a function that runs on the GPU, executed by an array of threads
4. Grid: a set of blocks (dimension of grid == # blocks a grid)
5. Block: a set of threads (dimension of block == # threads in a block)
6. Thread: one thread runs kernel
7. Shared memory:
Declarations on functions
__host__: host only
__global__: interface
__device__: device only
__shared__: shared memory
__local__:
CUDA U [Education] Exercise
Methods : See CUDA Reference Manual for details.
1. Allocate host memory and device memory
cudaMalloc(void **devPtr, size_t count): allocate memory on the GPU
cudaMallocHost(void **hostPtr, size_t size): allocate page-locked memory on the host
2. Copy memory host to device, device to device, and device to host
cudaMemcpy(void *dst, const void *src, size_t count, enum cudaMemcpyKind kind): copies data between GPU and host
cudaMemcpyKind: cudaMemcpyHostToDevice, cudaMemcpyDeviceToDevice, cudaMemcpyDeviceToHost
3. Free host and device memory
cudaFree(void *devPtr): frees memory on the GPU
4. Block until all threads in the block have written their data to shared memory
__syncthreads(); // called on the GPU
5. Block until the device has completed
cudaThreadSynchronize(); // called on the host
Kernel configuration and Launch
dim3 dimGrid(1024);
dim3 dimBlock(256);
kernel_name <<< dimGrid, dimBlock>>>(kernel_arguments);
1D Indexing
single block:
int idx = threadIdx.x;
int reversed_idx = blockDim.x - 1 - threadIdx.x;
multi blocks:
int offset = blockIdx.x * blockDim.x;
int idx = offset + threadIdx.x;
int reversed_offset = blockDim.x * (gridDim.x - 1 - blockIdx.x);
int reversed_threadIdx = blockDim.x - 1 - threadIdx.x;
int reversed_idx = reversed_offset + reversed_threadIdx;
Using shared memory
Declaration:
extern __shared__ int s_data[];
Terminology
1. Host: CPU
2. Device: GPU
3. Kernel: a function that runs on the GPU, executed by an array of threads
4. Grid: a set of blocks (dimension of grid == # blocks a grid)
5. Block: a set of threads (dimension of block == # threads in a block)
6. Thread: one thread runs kernel
7. Shared memory:
Declarations on functions
__host__: host only
__global__: interface
__device__: device only
__shared__: shared memory
__local__:
Monday, March 30, 2009
Wednesday, March 11, 2009
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