high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Computer science

Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics

Weiguo Liu, Bertil Schmidt, Wolfgang Muller-Wittig

Tags: Biology, Computer science, nVidia, Sequence alignment, Signal processing

November 7, 2010 by hgpu

Implementation of a High Throughput Soft MIMO Detector on GPU

Michael Wu, Yang Sun, Siddharth Gupta, Joseph Cavallaro

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Tags: Computer science, CUDA, MIMO, nVidia, Soft output detection, Tesla C1060, Wireless baseband architecture

November 7, 2010 by hgpu

GPU-based Acceleration of System-level Design Tasks

Unmesh Bordoloi, Samarjit Chakraborty

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Tags: Computer science, Design space exploration, Electronic design automation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Timing analysis

November 7, 2010 by hgpu

Evolution of thread-level parallelism in desktop applications

Geoffrey Blake, Ronald G. Dreslinski, Trevor Mudge, Krisztian Flautner

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Tags: Benchmarking, Computer science, Measurement techniques, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 285, nVidia ION

November 7, 2010 by hgpu

Data-intensive document clustering on GPU clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Computer science, CUDA, Data mining, GPU cluster, nVidia

November 7, 2010 by hgpu

Real-time 3D registration using GPU

Soon-Yong Park, Sung-In Choi, Jun Kim, Jeong Chae

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 260

November 7, 2010 by hgpu

A GPU implementation for LBG and SOM training

Yi Xiao, Chi Leung, Tze-Yui Ho, Ping-Man Lam

Tags: Computer science, Neural Computing, Self-organizing map, Vector quantization

November 6, 2010 by hgpu

Exploring the multiple-GPU design space

Dana Schaa, David Kaeli

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GTX

November 6, 2010 by hgpu

A Practical Quicksort Algorithm for Graphics Processors

Daniel Cederman, Philippas Tsigas

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Sorting

November 6, 2010 by hgpu

StoreGPU: exploiting graphics processing units to accelerate distributed storage systems

Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santos-Neto, George Yuan, Matei Ripeanu

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 9800 GTX, Package, Storage system

November 6, 2010 by hgpu

Programming model for a heterogeneous x86 platform

Bratin Saha, Xiaocheng Zhou, Hu Chen, Ying Gao, Shoumeng Yan, Mohan Rajagopalan, Jesse Fang, Peinan Zhang, Ronny Ronen, Avi Mendelson

Tags: Computer science, Distributed data structures, Programming techniques

November 6, 2010 by hgpu

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Applications

Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics

Implementation of a High Throughput Soft MIMO Detector on GPU

GPU-based Acceleration of System-level Design Tasks

Evolution of thread-level parallelism in desktop applications

Data-intensive document clustering on GPU clusters

Real-time 3D registration using GPU

A GPU implementation for LBG and SOM training

Exploring the multiple-GPU design space

A Practical Quicksort Algorithm for Graphics Processors

StoreGPU: exploiting graphics processing units to accelerate distributed storage systems

Programming model for a heterogeneous x86 platform

Recent source codes

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

SYCL Container

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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