high performance computing on graphics processing units: hgpu.org

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OpenACC – First Experiences with Real-World Applications

Sandra Wienke, Paul Springer, Christian Terboven, Dieter an Mey

Tags: Computer science, Fortran, Heterogeneous systems, nVidia, OpenACC, OpenCL, Tesla C2050

June 18, 2012 by hgpu

GPUmotif: An Ultra-Fast and Energy-Efficient Motif Analysis Program Using Graphics Processing Units

Pooya Zandevakili, Ming Hu, Zhaohui Qin

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Tags: Algorithms, Biochemistry, Biology, Chemistry, Computational biology, Computer science, CUDA, Genetics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package

June 17, 2012 by hgpu

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

John Sartori, Rakesh Kumar

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 17, 2012 by hgpu

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

Steinberger Markus, Kenzel Michael, Kainz Bernhard, Schmalstieg Dieter

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Tags: Computer science, CUDA, Hashing, Memory, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

E-MOGA: A General Purpose Platform for Multi Objective Genetic Algorithm running on CUDA

Sami M. Salamin, Mohammed Aldasht, Hashem Tamimi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GTX, Optimization

June 16, 2012 by hgpu

Accelerating Lambert’s Problem on the GPU in MATLAB

Nathan L. Parrish

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Tags: Algorithms, Computer science, CUDA, Fortran, nVidia, nVidia GeForce GT 430, nVidia GeForce GT 540 M, nVidia GeForce GTX 560 Ti, Package

June 16, 2012 by hgpu

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

Jianting Zhang

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

GiST Scan Acceleration using Coprocessors

Felix Beier, Torsten Kilias, Kai-Uwe Sattler

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Tags: Collision detection, Computer science, CUDA, nVidia, Raytracing, Tesla C2050

June 16, 2012 by hgpu

Energy Efficiency Analysis of GPUs

Juan M. Cebrian, Gines D. Guerrero, Jose M. Garcia

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 465, nVidia GeForce GTX 480

June 15, 2012 by hgpu

SAGA: SystemC Acceleration on GPU Architectures

Sara Vinco, Debapriya Chatterjee, Valeria Bertacco, Franco Fummi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

June 14, 2012 by hgpu

Performance Gains in Conjugate Gradient Computation with Linearly Connected GPU Multiprocessors

Stephen J. Tarsa, Tsung-han Lin, H.T. Kung

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 570

June 14, 2012 by hgpu

Exploiting Unexploited Computing Resources for Computational Logics

Alessandro Dal Palu, Agostino Dovier, Andrea Formisano, Enrico Pontelli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 560, SAT, Tesla C2075

June 14, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

OpenACC – First Experiences with Real-World Applications

GPUmotif: An Ultra-Fast and Energy-Efficient Motif Analysis Program Using Graphics Processing Units

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

E-MOGA: A General Purpose Platform for Multi Objective Genetic Algorithm running on CUDA

Accelerating Lambert’s Problem on the GPU in MATLAB

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

GiST Scan Acceleration using Coprocessors

Energy Efficiency Analysis of GPUs

SAGA: SystemC Acceleration on GPU Architectures

Performance Gains in Conjugate Gradient Computation with Linearly Connected GPU Multiprocessors

Exploiting Unexploited Computing Resources for Computational Logics

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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