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
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-core and Many-core Systems
Karan Aggarwal,Uday Bondhugula +1 more
- 23 Nov 2020
TL;DR: In this article, target-independent optimizations are proposed to optimize the SpMV operations of Linear Fascicle Evaluation (LiFE) decomposed using the STD technique, followed by target-dependent optimizations for CPU and GPU systems.
4
Performance Enhancement of GPU Parallel Computing Using Memory Allocation Optimization
Chu-Hsing Lin,Jung-Chun Liu,Po-Kai Yang +2 more
- 01 Jan 2020
TL;DR: This study compares performances of Fast Fourier Transforms on a host CPU,GPU parallel computing, and GPU parallel computing with memory allocation optimization and proves GPU parallel Computing is effective in enhancing computation speed of the FFT.
4
Loop Optimization for Divergence Reduction on GPUs with SIMT Architecture
TL;DR: A loop optimization technique having the potential to increase efficiency of the core SIMD block while processing embedded divergences is investigated here and the proposed payoff model captures loop overhead implications, allowing one to assess the tradeoffs of applying the technique to a specific loop instance.
4
On-GPU thread-data remapping for nested branch divergence
Huanxin Lin,Cho-Li Wang +1 more
TL;DR: This work proposes NeX as a nested extension scheme featuring an inter-thread protocol that supports sub-workgroup synchronization and further exploits the on-the-fly nature of Head-or-Tail (HoT) algorithm and proposes HoT2 with enhanced flexibility of wavefront scheduling.
4
Optimizing Complex Spatially-Variant Coefficient Stencils for Seismic Modeling on GPU
Jiarui Fang,Haohuan Fu,He Zhang,Wei Wu,Nanxun Dai,Lin Gan,Guangwen Yang +6 more
- 14 Dec 2015
TL;DR: A set of new optimization strategies for ETE stencils according to the memory hierarchy of NVIDIA GPU are presented and a stencil decomposition method is proposed to reduce un-coalesced global memory access.
4