【2014-11-24】Heterogeneous Parallel Programming – Section 2

1. Executing Thread Blocks
• Threads are assigned to Streaming Multiprocessors(SM) in block granularity
• Up to 8 blocks to each SM as resource allows
• Fermi SM can take up to 1536 threads
• 256*6
• 512*3
• SM maintains thread/block idx
2. Warps as Scheduling Units
• Each Block is executed as 32-thread Warps(each warp as a SIMD unit)
• SM implements zero-overhead warp
3. Control Divergence
• If there are any dependencies between threads, you must __syncthreads() to get correct results.
4. Memory Model
• Global Memory (dynamic allocate, static allocate)
• Register (automatic variables)
• Shared Memory (__shared__)
• Constant Memory (__constant__)
• 
• __device __ is optional when used with __shared__, or __constant__
• 
• Partition data into subsets or tiles that fit into shared memory
• use one thread block to handle each tile by
• Loading the tile from global memory to shared memory, using multiple threads
• Performing the computation on subset from shared memory, reducing traffic to the global memory
• Upon completion, writing results from shared memory to global memory