high performance computing on graphics processing units: hgpu.org

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GPU Architecture and the Programming Environment

Stanislav Stankovic, Dusan Gajic, Radomir S. Stankovic

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Tags: Computer science, Hardware Architecture, Review

December 10, 2012 by hgpu

Implementing QR Factorization Updating Algorithms on GPUs

Robert Andrew, Nicholas Dingle

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, Numerical Analysis, nVidia, Tesla M2050

December 10, 2012 by hgpu

A Practical, Targeted, and Stealthy Attack Against WPA Enterprise Authentication

Aldo Cassola, William Robertson, Engin Kirda, Guevara Noubir

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GT, Security

December 10, 2012 by hgpu

GPU implementation of epidemiological behaviour in large social networks

Sairam K M Menon, P K Baruah, Matija Sosic

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Tags: Computer science, Condensed matter, CUDA, nVidia, Tesla M2070

December 10, 2012 by hgpu

Hybrid computational voxelization using the graphics pipeline

Randall Rauwendaal

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, OpenGL, Thesis, Voxelization

December 10, 2012 by hgpu

Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs

Onur Kayiran, Adwait Jog, Mahmut T. Kandemir, Chita R. Das

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Tags: Computer science, CUDA, nVidia, Performance

December 10, 2012 by hgpu

Computing Nash Equilibria in Bimatrix Games: GPU-based Parallel Support Enumeration

Safraz Rampersaud, Lena Mashayekhy, Daniel Grosu

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Tags: Algorithms, Computer science, CUDA, Games, nVidia, nVidia GeForce GT 440

December 8, 2012 by hgpu

OpenMP Programming on Intel R Xeon Phi TM Coprocessors: An Early Performance Comparison

Tim Cramer, Dirk Schmidl, Michael Klemm, Dieter an Mey

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Tags: Benchmarking, Computer science, Intel, Intel Phi, OpenMP, Performance

December 8, 2012 by hgpu

Towards Building Error Resilient GPGPU Applications

Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, Programming techniques, Tesla C2075

December 8, 2012 by hgpu

Data Compression using CUDA programming in GPU

Ganapathy Mani

Tags: Algorithms, Compression, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce 8800 GTS

December 8, 2012 by hgpu

A computationally efficient and scalable approach for privacy preserving kNN classification

Sairam Ravu, P. R. Neelakandan, M. R. Gorai, R. Mukkamala, P. K. Baruah

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Tags: Algorithms, Bloom filter, Computer science, CUDA, Data mining, nVidia, Tesla M2070

December 8, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 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

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU Architecture and the Programming Environment

Implementing QR Factorization Updating Algorithms on GPUs

A Practical, Targeted, and Stealthy Attack Against WPA Enterprise Authentication

GPU implementation of epidemiological behaviour in large social networks

Hybrid computational voxelization using the graphics pipeline

Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs

Computing Nash Equilibria in Bimatrix Games: GPU-based Parallel Support Enumeration

OpenMP Programming on Intel R Xeon Phi TM Coprocessors: An Early Performance Comparison

Towards Building Error Resilient GPGPU Applications

Data Compression using CUDA programming in GPU

A computationally efficient and scalable approach for privacy preserving kNN classification

GPU accelerating the FEniCS Project

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

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

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