high performance computing on graphics processing units: hgpu.org

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GEARS: A General and Efficient Algorithm for Rendering Shadows

Lili Wang, Ze Wang, Yulong Shi, Voicu Popescu

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering

February 28, 2013 by hgpu

A Fast and Efficient SIFT Detector Using the Mobile GPU

Blaine Rister, Guohui Wang, Michael Wu, Joseph R. Cavallaro

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Tags: Computer science, Computer vision, nVidia, nVidia Tegra, OpenGL

February 28, 2013 by hgpu

Accelerating Dynamic Binary Translation with GPUs

Chung Hwan Kim, Srikanth Manikarnike, Vaibhav Sharma, Eric Eide, Robert Ricci

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Tags: Computer science, CUDA, nVidia, nVidia ION, Programming techniques

February 28, 2013 by hgpu

Parallel simulation of population balance model-based particulate processes using multi-core CPUs and GPUs

Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

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Tags: Chemistry, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Pharmaceuticals

February 27, 2013 by hgpu

Utilizing Graphics Processing Units for Network Anomaly Detection

Jonathan D. Hersack

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 280, Security, Thesis

February 27, 2013 by hgpu

A Wrapper of OpenCL library for gVirtus Framework

Roberto Di Lauro

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Tags: Cloud, Computer science, nVidia, nVidia Quadro FX 5800, OpenCL, Tesla C1060

February 25, 2013 by hgpu

Graphics Card as a Cheap Supercomputer

Jan Prikryl

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Overview, Package

February 25, 2013 by hgpu

Future of GPGPU Micro-Architectural Parameters

Cedric Nugteren, Gert-Jan van den Braak, Henk Corporaal

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Tags: Computer science, Overview, Performance

February 25, 2013 by hgpu

Can PCM Benefit GPU? Reconciling Hybrid Memory Design with GPU Massive Parallelism for Energy Efficiency

Bin Wang, Bo Wu, Dong Li, Xipeng Shen, Weikuan Yu, Yizheng Jiao, Jeffrey Vetter

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Tags: Computer science, GPGPU-sim, Memory, Performance

February 23, 2013 by hgpu

Efficient Parallel and External Matching

Marcel Birn, Vitaly Osipov, Peter Sanders, Christian Schulz, Nodari Sitchinava

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, MapReduce, Memory model, nVidia, nVidia GeForce GTX 480

February 23, 2013 by hgpu

Adaptive Hardware-accelerated Terrain Tessellation

Albert Cervin

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Tags: Computer science, Rendering, Tessellation, Thesis

February 23, 2013 by hgpu

Parallel Computer Vision: Person Data Extraction

Lang Christian

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Thesis

February 23, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

GEARS: A General and Efficient Algorithm for Rendering Shadows

A Fast and Efficient SIFT Detector Using the Mobile GPU

Accelerating Dynamic Binary Translation with GPUs

Parallel simulation of population balance model-based particulate processes using multi-core CPUs and GPUs

Utilizing Graphics Processing Units for Network Anomaly Detection

Graphics Card as a Cheap Supercomputer

Future of GPGPU Micro-Architectural Parameters

Can PCM Benefit GPU? Reconciling Hybrid Memory Design with GPU Massive Parallelism for Energy Efficiency

Efficient Parallel and External Matching

Adaptive Hardware-accelerated Terrain Tessellation

Parallel Computer Vision: Person Data Extraction

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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