PyCUDA: Even Simpler GPU Programming with Python
65
pages
English
Documents
2011
Le téléchargement nécessite un accès à la bibliothèque YouScribe Tout savoir sur nos offres
65
pages
English
Documents
2011
Le téléchargement nécessite un accès à la bibliothèque YouScribe Tout savoir sur nos offres
Publié par
Publié le
24 juin 2011
Nombre de lectures
564
Langue
English
Poids de l'ouvrage
4 Mo
GPU Scripting PyOpenCL News RTCG ShowcasePyCUDA: Even SimplerGPU Programming with PythonAndreas Kl ocknerCourant Institute of Mathematical SciencesNew York UniversityNvidia GTC September 22, 2010Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with PythonGPU Scripting PyOpenCL News RTCG ShowcaseThanksJan Hesthaven (Brown)Tim Warburton (Rice)Leslie Greengard (NYU)PyCUDA contributorsPyOpenCL contributorsNvidia CorporationAndreas Kl ockner PyCUDA: Even Simpler GPU Programming with PythonGPU Scripting PyOpenCL News RTCG ShowcaseOutline1 Scripting GPUs with PyCUDA2 PyOpenCL3 The News4 Run-Time Code Generation5 ShowcaseAndreas Kl ockner PyCUDA: Even Simpler GPU Programming with PythonGPU Scripting PyOpenCL News RTCG Showcase Overview Being ProductiveOutline1 Scripting GPUs with PyCUDAPyCUDA: An OverviewDo More, Faster with PyCUDA2 PyOpenCL3 The News4 Run-Time Code Generation5 ShowcaseAndreas Kl ockner PyCUDA: Even Simpler GPU Programming with PythonGPU Scripting PyOpenCL News RTCG Showcase Overview Being ProductiveWhetting your appetite1 import pycuda.driver as cuda2 import p.autoinit , pycuda.compiler3 import numpy45 a = numpy.random.randn(4,4).astype(numpy. oat32)6 a gpu = cuda.mem alloc(a.nbytes)7 cuda.memcpy htod(a gpu, a)[This is examples/demo.py in the PyCUDA distribution.]Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with PythonCompute kernelGPU Scripting PyOpenCL News RTCG Showcase Overview Being ...
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GPU Scripting PyOpenCL News RTCG Showcase
PyCUDA: Even Simpler
GPU Programming with Python
Andreas Kl ockner
Courant Institute of Mathematical Sciences
New York University
Nvidia GTC September 22, 2010
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python GPU Scripting PyOpenCL News RTCG Showcase
Thanks
Jan Hesthaven (Brown)
Tim Warburton (Rice)
Leslie Greengard (NYU)
PyCUDA contributors
PyOpenCL contributors
Nvidia Corporation
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python GPU Scripting PyOpenCL News RTCG Showcase
Outline
1 Scripting GPUs with PyCUDA
2 PyOpenCL
3 The News
4 Run-Time Code Generation
5 Showcase
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python GPU Scripting PyOpenCL News RTCG Showcase Overview Being Productive
Outline
1 Scripting GPUs with PyCUDA
PyCUDA: An Overview
Do More, Faster with PyCUDA
2 PyOpenCL
3 The News
4 Run-Time Code Generation
5 Showcase
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python GPU Scripting PyOpenCL News RTCG Showcase Overview Being Productive
Whetting your appetite
1 import pycuda.driver as cuda
2 import p.autoinit , pycuda.compiler
3 import numpy
4
5 a = numpy.random.randn(4,4).astype(numpy. oat32)
6 a gpu = cuda.mem alloc(a.nbytes)
7 cuda.memcpy htod(a gpu, a)
[This is examples/demo.py in the PyCUDA distribution.]
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python Compute kernel
GPU Scripting PyOpenCL News RTCG Showcase Overview Being Productive
Whetting your appetite
1 mod = pycuda.compiler.SourceModule("""
2 global void twice( oat a)
3 f
4 int idx = threadIdx.x + threadIdx.y4;
5 a[ idx ] = 2;
6 g
7 """)
8
9 func = mod.get function("twice")
10 func(a gpu, block=(4,4,1))
11
12 a doubled = numpy.empty like(a)
13 cuda.memcpy dtoh(a doubled, a gpu)
14 print a doubled
15 print a
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python GPU Scripting PyOpenCL News RTCG Showcase Overview Being Productive
Whetting your appetite
1 mod = pycuda.compiler.SourceModule("""
2 global void twice( oat a)
3 f
4 int idx = threadIdx.x + threadIdx.y4;
5 a[ idx ] = 2;
Compute kernel6 g
7 """)
8
9 func = mod.get function("twice")
10 func(a gpu, block=(4,4,1))
11
12 a doubled = numpy.empty like(a)
13 cuda.memcpy dtoh(a doubled, a gpu)
14 print a doubled
15 print a
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python GPU Scripting PyOpenCL News RTCG Showcase Overview Being Productive
Why do Scripting for GPUs?
GPUs are everything that scripting
languages are not.
Highly parallel
Very architecture-sensitive
Built for maximum FP/memory
throughput
! complement each other
CPU: largely restricted to control
tasks (1000/sec)
Scripting fast enough
Python + CUDA = PyCUDA
Python + OpenCL = PyOpenCL
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python GPU Scripting PyOpenCL News RTCG Showcase Overview Being Productive
Scripting: Python
One example of a scripting language: Python
Mature
Large and active community
Emphasizes readability
Written in widely-portable C
A ‘multi-paradigm’ language
Rich ecosystem of sci-comp related
software
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python GPU Scripting PyOpenCL News RTCG Showcase Overview Being Productive
Scripting: Interpreted, not Compiled
Program creation work ow:
Edit
Compile
Link
Run
Andreas Kl ockner PyCUDA: Even Simpler GPU Programming with Python
