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Accelerating Boosting-based Face Detection on GPUs

David Oro, Carles Fernandez, Carlos Segura, Xavier Martorell, Javier Hernando

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Tags: Algorithms, Computer science, Computer vision, CUDA, H.264/AVC, nVidia, nVidia GeForce GTX 470

September 10, 2012 by hgpu

Performance Improvement of TOUGH2 Simulation with Graphics Processing Unit

Yusuke Shimotoku, Toshiaki Tanaka, Ryuichi Itoi

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

September 10, 2012 by hgpu

Performance Evaluation of Concurrent Lock-free Data Structures on GPUs

Prabhakar Misra, Mainak Chaudhuri

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C2070

September 8, 2012 by hgpu

Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation

Paul Sathre, Mark Gardner, Wu-chun Feng

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL

September 8, 2012 by hgpu

Mastering Software Variant Explosion for GPU Accelerators

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

September 8, 2012 by hgpu

Supporting Heterogenous Computing Environments in SaC

Miguel Diogo, Clemens Grelck

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia

September 8, 2012 by hgpu

OpenACC Implementations Comparison

Ivan Lopez-Rodriguez

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

September 8, 2012 by hgpu

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

Benedict R. Gaster, Lee Howes

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Performance

September 7, 2012 by hgpu

An Efficient Acceleration of Digital Fonensics Search Using GPGPU

Chung-han Chen, Fan Wu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Search

September 7, 2012 by hgpu

GPU Computing and CUDA technology used to accelerate a mesh generator application

Adriana Gaudiani, Santiago Montiel, Javier Pimas

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Tags: Computer science, CUDA, nVidia, Tesla C2070

September 7, 2012 by hgpu

Power and Performance Analysis of GPU-Accelerated Systems

Yuki Abe, Hiroshi Sasaki, Martin Peres, Koji Inoue, Kazuaki Murakami, Shinpei Kato

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

September 6, 2012 by hgpu

GPU Acceleration of BCP Procedure for SAT Algorithms

Hironori Fujii, Noriyuki Fujimoto

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

September 6, 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

Accelerating Boosting-based Face Detection on GPUs

Performance Improvement of TOUGH2 Simulation with Graphics Processing Unit

Performance Evaluation of Concurrent Lock-free Data Structures on GPUs

Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation

Mastering Software Variant Explosion for GPU Accelerators

Supporting Heterogenous Computing Environments in SaC

OpenACC Implementations Comparison

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

An Efficient Acceleration of Digital Fonensics Search Using GPGPU

GPU Computing and CUDA technology used to accelerate a mesh generator application

Power and Performance Analysis of GPU-Accelerated Systems

GPU Acceleration of BCP Procedure for SAT Algorithms

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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