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GPU-Based Parallel Signature Scanning and Hash Generation

Bernhard Fechner

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 260, Pattern Search, Security, Sequence matching

June 24, 2011 by hgpu

A Parallel Gibbs Sampling Algorithm for Motif Finding on GPU

Linbin Yu, Yun Xu

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence matching

April 9, 2011 by hgpu

Acceleration of the Smith-Waterman Algorithm using Single and Multiple Graphics Processors

Ali Khajeh-Saeed, Stephen Poole, J. Blair Perot

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 9800 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTX 295, Sequence matching, Smith-Waterman algorithm

November 18, 2010 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

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