high performance computing on graphics processing units: hgpu.org

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Divergence Analysis

Diogo Sampaio, Rafael Martins De Souza, Sylvain Collange, Fernando Magno Quintao Pereira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Performance

December 4, 2013 by hgpu

Fingerprint grid enhancement on GPU

Raja Lehtihet, Wael El Oraiby, Mohammed Benmohammed

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 560 Ti

December 4, 2013 by hgpu

Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU

R. G. Calland, A. C. Kaboth, D. Payne

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Source codes

Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 670, Package, Physics, Probability

December 3, 2013 by hgpu

Fractal Based Method on Hardware Acceleration for Natural Environments

Divya Udayan J, HyungSeok Kim, Jun Lee, Jee-In Kim

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 650, Rendering

November 30, 2013 by hgpu

Design and Storage Optimization of GPU-based Parallel Program of Image Registration for Remote Sensing

Zhou Haifang, Xu Rulin, Jiang Jingfei

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Tags: CUDA, Image processing, Image registration, nVidia, Sensing, Tesla M2050, Wavelet

November 30, 2013 by hgpu

Highly Optimized Full GPU-Acceleration of Non-hydrostatic Weather Model SCALE-LES

Mohamed Wahib, Naoya Maruyama

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Tags: CUDA, Earth and Space Sciences, nVidia, OpenACC, Tesla K20, Tesla M2075, Weather Prediction Model

November 29, 2013 by wahibium

The Use of Automated Search in Deriving Software Testing Strategies

Simon Marcus Poulding

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, Tesla C1060, Thesis

November 28, 2013 by hgpu

Hybrid Programming using OpenSHMEM and OpenACC

Matthew Baker, Swaroop Pophale, Jean-Charles Vasnier, Haoqiang Jin, Oscar Hernandez

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Tags: Computer science, CUDA, MPI, nVidia, OpenACC, Performance, Tesla K20

November 28, 2013 by hgpu

Accelerated Primality Testing Using GPUs

Duncan McBain

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 570, Thesis

November 27, 2013 by hgpu

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Enes Bajrovic, Siegfried Benkner, Jiri Dokulil, Martin Sandrieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Tesla C2050

November 27, 2013 by hgpu

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Ivan Zecena, Martin Burtscher, Tongdan Jin, Ziliang Zong

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Tags: Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Performance

November 27, 2013 by hgpu

Performance Analysis of GPU-based SAR and Interferometric SAR image processing

Achille Peternier, Marco Defilippi, Paolo Pasquali, Alessio Cantone, Rolf Krause, Raffaele Vitulli, Fumitaka Ogushi, Alberto Meroni

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Tags: Algorithms, CUDA, Image processing, nVidia, OpenCL, Tesla C2050

November 27, 2013 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Divergence Analysis

Fingerprint grid enhancement on GPU

Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU

Fractal Based Method on Hardware Acceleration for Natural Environments

Design and Storage Optimization of GPU-based Parallel Program of Image Registration for Remote Sensing

Highly Optimized Full GPU-Acceleration of Non-hydrostatic Weather Model SCALE-LES

The Use of Automated Search in Deriving Software Testing Strategies

Hybrid Programming using OpenSHMEM and OpenACC

Accelerated Primality Testing Using GPUs

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Performance Analysis of GPU-based SAR and Interferometric SAR image processing

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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