high performance computing on graphics processing units: hgpu.org

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Parallelizing General Histogram Application for CUDA Architectures

Ugljesa Milic, Isaac Gelado, Nikola Puzovic, Alex Ramirez, Milo Tomasevic

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Tags: Algorithms, CUDA, Image processing, nVidia, Search strategies, Tesla C2070, Tesla K20

June 17, 2013 by hgpu

Bayesian State-Space Modelling on High-Performance Hardware Using LibBi

Lawrence M. Murray

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Tags: Bayesian, CUDA, Mathematics, nVidia, Package, Statistics, Tesla C2075, Tesla S2050

June 17, 2013 by hgpu

Investigation of GPU-based Pattern Matching

X. Bellekens, I. Andonovic, RC. Atkinson

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, String matching, Tesla K20

June 17, 2013 by hgpu

GPU Programming in Rust: Implementing High Level Abstractions in a Systems Level Language

Eric Holk, Milinda Pathirage, Arun Chauhan, Andrew Lumsdaine, Nicholas D. Matsakis

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 460, OpenCL, Package, PTX

June 17, 2013 by hgpu

Performance Analysis on Energy Efficient High-Performance Architectures

Roman Iakymchuk, Francois Trahay

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Tags: ARM, Computer science, CUDA, Energy-efficient computing, nVidia, Performance

June 16, 2013 by hgpu

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Altaf Ahmad Huqqani, Erich Schikuta, Sicen Ye, Peng Chen

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, OpenMP, Tesla C1060

June 16, 2013 by hgpu

A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks

Ahmed Shamsul Arefin, Regina Berretta, Pablo Moscato

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Tags: Computer science, CUDA, Neural networks, nVidia, Tesla C2050

June 16, 2013 by hgpu

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

Kyung Sang Kim, Young Don Son, Zang Hee Cho, Jong Beom Ra, and Jong Chul Ye

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Tags: CUDA, Image processing, Monte Carlo simulation, nVidia, OpenMP, PET, Tesla C1060

June 14, 2013 by hgpu

Computing virtual acoustics using the 3D finite difference time domain method and Kepler architecture GPUs

Craig J. Webb

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, nVidia, Tesla K20

June 14, 2013 by hgpu

Research on a Parallel BD-tree Index Structure

Yong Liu, Liping Luo, Lianyin Jia, Jinwang Huang, Jingxing Wang, Dongpin Huang

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Tags: Computer science, CUDA, Databases, Hashing, nVidia, nVidia GeForce GTX 480

June 14, 2013 by hgpu

Use of CUDA Parallel Computing Technology in Modeling of Solid Mineral Deposits

D.I.Eryemin, Yu.A.Ponyatov, N.I.Yagfarova

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2050

June 13, 2013 by hgpu

Cost-Effective Soft-Error Protection for SRAM-Based Structures in GPGPUs

Jingweijia Tan, Zhi Li, Xin Fu

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Tags: Computer science, CUDA, Energy-efficient computing, Hardware Architecture, nVidia

June 13, 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

Parallelizing General Histogram Application for CUDA Architectures

Bayesian State-Space Modelling on High-Performance Hardware Using LibBi

Investigation of GPU-based Pattern Matching

GPU Programming in Rust: Implementing High Level Abstractions in a Systems Level Language

Performance Analysis on Energy Efficient High-Performance Architectures

Multicore and GPU Parallelization of Neural Networks for Face Recognition

A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

Computing virtual acoustics using the 3D finite difference time domain method and Kepler architecture GPUs

Research on a Parallel BD-tree Index Structure

Use of CUDA Parallel Computing Technology in Modeling of Solid Mineral Deposits

Cost-Effective Soft-Error Protection for SRAM-Based Structures in GPGPUs

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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