9 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.PF2016
A Unified, Hardware-Fitted, Cross-GPU Performance Model
James Stevens, Andreas Klöckner
We present a mechanism to symbolically gather performance-relevant operation counts from numerically-oriented subprograms (`kernels') expressed in the Loopy programming system, and…
cs.PL2015★ 9 cited
Loo.py: From Fortran to performance via transformation and substitution rules
Andreas Klöckner
A large amount of numerically-oriented code is written and is being written in legacy languages. Much of this code could, in principle, make good use of data-parallel throughput-or…
cs.SE2013★ 1 cited
GPU Scripting and Code Generation with PyCUDA
Andreas Klöckner, Nicolas Pinto, Bryan Catanzaro +3
High-level scripting languages are in many ways polar opposites to GPUs. GPUs are highly parallel, subject to hardware subtleties, and designed for maximum throughput, and they off…