Lecture 2 â Threads - many-core.group

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More on threads • Many thousands of concurrent threads are allowed • “Instant” switching between threads hides memory latency: • While a thread is waiting for data – switch to another thread which has data available • To help the programmer keep track of threads (and to guide their scheduling on the GPU) threads are organised into thread blocks • Blocks are further organised into a grid
<strong>Threads</strong>, blocks and grid Block is shown as a 1D array of threads – but could also be 2D or 3D Grid is shown as a 1D array of blocks – but could also be 2D
Page 1 and 2: Lecture 2 - Threads Graham Pullan D
Page 3 and 4: Threads, thread blocks and shared m
Page 5 and 6: Threads • Example in L1 made no u
Page 7: Kernel for c = a + b __global__ voi
Page 11 and 12: More on thread blocks • Thread bl
Page 13 and 14: Streaming multiprocessors and share
Page 15 and 16: Governing equation • Heat conduct
Page 17 and 18: 2D heat conduction • In 2D: ∂T
Page 19 and 20: Domain
Page 21 and 22: Results Initial field After 50000 s
Page 23 and 24: GPU strategy 1 • Start a thread f
Page 25 and 26: GPU strategy 1 - threads and blocks
Page 27 and 28: GPU strategy 1 - kernel launch code
Page 29 and 30: Performance • CPU - 1 core, Intel
Page 31 and 32: GPU strategy 2 - threads and blocks
Page 33 and 34: GPU strategy 2 - kernel (part 1) //
Page 35 and 36: Performance • CPU - 1 core, Intel
Page 37 and 38: GPU strategy 3 • Can use larger b
Page 39 and 40: GPU strategy 3
Page 45 and 46: Lecture 2 summary

Lecture 2 â Threads - many-core.group

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Lecture 2 â Threads - many-core.group