Optimization Techniques for GPU Programming
54
TL;DR: In this article , a survey discusses various optimization techniques found in 450 articles published in the last 14 years and analyzes the optimizations from different perspectives which shows that the various optimizations are highly interrelated, explaining the need for techniques such as auto-tuning.
read more
Abstract: In the past decade, Graphics Processing Units have played an important role in the field of high-performance computing and they still advance new fields such as IoT, autonomous vehicles, and exascale computing. It is therefore important to understand how to extract performance from these processors, something that is not trivial. This survey discusses various optimization techniques found in 450 articles published in the last 14 years. We analyze the optimizations from different perspectives which shows that the various optimizations are highly interrelated, explaining the need for techniques such as auto-tuning.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Unleashing the potential: AI empowered advanced metasurface research
Yunlai Fu,Xuxi Zhou,Yiwan Yu,Jiawang Chen,Shuming Wang,Shining Zhu,Zhenlin Wang +6 more
TL;DR: AI-powered advanced metasurface research explores the intersection of AI and metasurfaces, leveraging AI's computational power to design, analyze, and optimize metasurfaces for various applications.
GPU acceleration of Levenshtein distance computation between long strings
TL;DR: In this paper , a GPU implementation of the WFA algorithm and a new optimization that can halve the elements to be computed, providing additional performance gains, are presented, which is the best ever reported.
7
Progress and Opportunities of Foundation Models in Bioinformatics
Qing Li,Zhihang Hu,Yixuan Wang,Lei Li,Yimin Fan,Irwin King,Le Song,Yu Li +7 more
TL;DR: A systematic investigation and summary of FMs in bioinformatics, tracing their evolution, current research status, and the methodologies employed, aiming to guide the research community in choosing appropriate FMs for their research needs.
6
Sustainable Optimizing Performance and Energy Efficiency in Proof of Work Blockchain: A Multilinear Regression Approach
Meennapa Rukhiran,Songwut Boonsong,Paniti Netinant +2 more
TL;DR: The results reveal that strategically adjusting GPU hardware, software, and configuration can preserve substantial energy while preserving computational efficiency, and offer practical recommendations for optimizing the feature configurations of GPUs to reduce energy consumption, mitigate the environmental impacts of blockchain operations, and contribute to the current research on performance in PoW blockchain applications.
6
References
A High-Throughput Solver for Marginalized Graph Kernels on GPU
Yu-Hang Tang,Oguz Selvitopi,Doru Thom Popovici,Aydin Buluc +3 more
- 01 May 2020
TL;DR: The design and optimization of a linear solver for the efficient and high-throughput evaluation of the marginalized graph kernel between pairs of labeled graphs and a new partition-based reordering algorithm for aggregating nonzero elements of the graphs into fewer but denser tiles to improve the efficiency of the sparse format are presented.
Introduction to assembly of finite element methods on graphics processors
Cristopher Cecka,Adrian J. Lew,Eric Darve +2 more
- 01 Jun 2010
TL;DR: It is found that with appropriate preprocessing and arrangement of support data, the GPU coprocessor achieves speedups of 30x or more in comparison to a well optimized serial implementation on the CPU.
Computer Architectures for Autonomous Driving
TL;DR: To enable autonomous driving, a computing stack must simultaneously ensure high performance, consume minimal power, and have low thermal dissipation—all at an acceptable cost.
Program optimization space pruning for a multithreaded gpu
Shane Ryoo,Christopher I. Rodrigues,Sam S. Stone,Sara S. Baghsorkhi,Sain-Zee Ueng,John A. Stratton,Wen-mei W. Hwu +6 more
- 06 Apr 2008
TL;DR: The complexity involved in optimizing applications for one highly-parallel system and one relatively simple methodology for reducing the workload involved in the optimization process are shown.
An architecture-aware technique for optimizing sparse matrix-vector multiplication on GPUs
Marco Maggioni,Tanya Y. Berger-Wolf +1 more
- 01 Jan 2013
TL;DR: The design of an architecture-aware technique for improving the performance of the SpMV on Graphic Processing Units (GPUs) is proposed, based on a novel heuristic capable of reducing cache memory accesses within hardware-level thread blocks (warps).