31 citations · 70 across the 19 of their papers we have counts for
4 papers · 1 filter
KLARAPTOR: A Tool for Dynamically Finding Optimal Kernel Launch Parameters Targeting CUDA Programs
Alexander Brandt, Davood Mohajerani, Marc Moreno Maza +2
In this paper we present KLARAPTOR (Kernel LAunch parameters RAtional Program estimaTOR), a new tool built on top of the LLVM Pass Framework and NVIDIA CUPTI API to dynamically det…
A Technique for Finding Optimal Program Launch Parameters Targeting Manycore Accelerators
Alexander Brandt, Davood Mohajerani, Marc Moreno Maza +2
In this paper, we present a new technique to dynamically determine the values of program parameters in order to optimize the performance of a multithreaded program P. To be precise…
Comprehensive Optimization of Parametric Kernels for Graphics Processing Units
Xiaohui Chen, Marc Moreno-Maza, Jeeva Paudel +1
This work deals with the optimization of computer programs targeting Graphics Processing Units (GPUs). The goal is to lift, from programmers to optimizing compilers, the heavy burd…
A Many-core Machine Model for Designing Algorithms with Minimum Parallelism Overheads
Sardar Anisul Haque, Marc Moreno Maza, Ning Xie
We present a model of multithreaded computation, combining fork-join and single-instruction-multiple-data parallelisms, with an emphasis on estimating parallelism overheads of prog…