high performance computing on graphics processing units: hgpu.org

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Hardware accelerators for biocomputing: A survey

Souradip Sarkar, Turbo Majumder, Ananth Kalyanaraman, Partha Pratim Pande

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Tags: Biology, Cell processor, CUDA, FPGA, Molecular dynamics, nVidia, nVidia GeForce 7800 GTX, Performance, Review, Sequence alignment

August 7, 2011 by hgpu

Efficient MIMD architectures for high-performance ray tracing

D. Kopta, J. Spjut, E. Brunvand, A. Davis

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 285, Performance, Raytracing

August 4, 2011 by hgpu

PIR: PMaC’s Idiom Recognizer

Catherine Olschanowsky, Allan Snavely, Mitesh R. Meswani, Laura Carrington

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Tags: Algorithms, Computer science, Optimization, Pattern recognition, Performance

August 3, 2011 by hgpu

Hyperfast Parallel–Beam Backprojection

Marc Kachelriess, Michael Knaup, Olivier Bockenbach

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Tags: Algorithms, Cell processor, Computer science, Data mining, Distributed computing, Image reconstruction, Nearest neighbour, Performance, Tomography

August 2, 2011 by hgpu

Performance Debugging of GPGPU Applications with the Divergence Map

Bruno Coutinho, Diogo Sampaio, Fernando M. Q. Pereira, Wagner Meira Jr.

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, PTX

August 1, 2011 by hgpu

Towards a More Efficient Use of GPUs

Pedro Valero, Fernando L. Pelayo

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Tags: Computer science, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 285, Performance, Task scheduling

July 30, 2011 by hgpu

Tracking 3d Pose of Rigid Object by Sparse Template Matching

Yuki Oka, Toshiyuki Kuroda, Tsuyoshi Migita, Takeshi Shakunaga

Tags: Computer science, Computer vision, Particle filtering, Performance, Video tracking

July 29, 2011 by hgpu

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Neural networks, nVidia, nVidia GeForce GT 200, Performance

July 29, 2011 by hgpu

Real-time Semi-Global Matching on the CPU

Stefan K. Gehrig, Clemens Rabe

Tags: Algorithms, Computer science, Computer vision, FPGA, nVidia, nVidia GeForce 8800 Ultra, Performance, Stereo vision

July 28, 2011 by hgpu

Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

Ben Cope, Peter Y.K. Cheung, Wayne Luk

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Tags: Algorithms, Cg, Computer science, FPGA, GLSL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Performance

July 24, 2011 by hgpu

Exploring graphics processor performance for general purpose applications

Pedro Trancoso, Maria Charalambous

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Tags: Brook, Computer science, nVidia, nVidia GeForce FX 5700, Performance, Review

July 23, 2011 by hgpu

A History-Based Performance Prediction Model with Profile Data Classification for Automatic Task Allocation in Heterogeneous Computing Systems

Katsuto Sato, Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

Tags: Computer science, Heterogeneous systems, OpenCL, Performance, Programming techniques

July 22, 2011 by hgpu

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

Hardware accelerators for biocomputing: A survey

Efficient MIMD architectures for high-performance ray tracing

PIR: PMaC’s Idiom Recognizer

Hyperfast Parallel–Beam Backprojection

Performance Debugging of GPGPU Applications with the Divergence Map

Towards a More Efficient Use of GPUs

Tracking 3d Pose of Rigid Object by Sparse Template Matching

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

Real-time Semi-Global Matching on the CPU

Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

Exploring graphics processor performance for general purpose applications

A History-Based Performance Prediction Model with Profile Data Classification for Automatic Task Allocation in Heterogeneous Computing Systems

Recent source codes

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

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

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

Can Large Language Models Predict Parallel Code Performance?

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