high performance computing on graphics processing units: hgpu.org

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Mixed-precision Orthogonalization Scheme and Adaptive Step Size for CA-GMRES on GPUs

Ichitaro Yamazaki, Stanimire Tomov, Tingxing Dong, Jack Dongarra

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Tags: Computer science, Linear Algebra, nVidia, Performance, Tesla K20, Tesla K40, Tesla M2090

July 1, 2014 by hgpu

Energy Efficiency Benefits of Reducing the Voltage Guardband on the Kepler GPU Architecture

Jingwen Leng, Yazhou Zu, Vijay Janapa Reddi

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 680

July 1, 2014 by hgpu

Accelerated Computation of Minimum Enclosing Balls by GPU Parallelization and Distance Filtering

Linus Kallberg, Thomas Larsson

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia Quadro K 4000 M

July 1, 2014 by hgpu

Parallelizing the cellular potts model on GPU and multi-core CPU: An OpenCL cross-platform study

Chao Yu, Bo Yang

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Tags: ATI, ATI Radeon HD 7870, Biology, Computer science, OpenCL

July 1, 2014 by hgpu

High-Level Programming Framework for Executing Streaming Applications on Heterogeneous OpenCL Platforms

Matthias Baer

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Tags: ATI, ATI Radeon HD 7750, Computer science, Heterogeneous systems, OpenCL, Thesis

July 1, 2014 by hgpu

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Klaus Kofler, Dominik Steinhauser, Biagio Cosenza, Ivan Grasso, Sabine Schindler, Thomas Fahringer

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5870, ATI Radeon HD 7950, Computational Complexity, Computer science, KD-tree, N-body simulation, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla K20

July 1, 2014 by hgpu

Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition

Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng

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Tags: Computer science, Machine learning, Neural and Evolutionary Computing, Neural networks, Speech recognition

July 1, 2014 by hgpu

Speedup of Micromagnetic Simulations with C++ AMP On Graphics Processing Units

Ru Zhu

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Tags: ATI, ATI Radeon HD 7970, Computer science, Electrodynamics, FFT, OpenCL

July 1, 2014 by hgpu

Performance and Efficiency Analysis of Modern Accelerators: Fine-Grained Parallelism on the Intel Xeon Phi

Robrecht Dewaele

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Tags: Benchmarking, Computer science, Intel Xeon Phi, Package, Performance, Thesis

June 28, 2014 by hgpu

Evaluation of DGEMM Implementation on Intel Xeon Phi Coprocessor

Pawel Gepner, Victor Gamayunov, David L. Fraser, Eric Houdard, Ludovic Sauge, Damien Declat, Mathieu Dubois

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Tags: Algorithms, Computer science, Intel Xeon Phi, Linear Algebra, Matrix multiplication, Performance

June 28, 2014 by hgpu

Modified Bloom filter for high performance hybrid NoSQL systems

A.B. Vavrenyuk, N.P. Vasilyev, V.V. Makarov, K.A. Matyukhin, M.M. Rovnyagin, A.A. Skitev

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Tags: Bloom filter, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 260

June 28, 2014 by hgpu

Implementation of the genetic algorithm by means of CUDA technology involved in travelling salesman problem

Anna Plichta, Tomasz Gaciarz, Bartosz Baranowski, Szymon Szominski

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 285

June 28, 2014 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

Mixed-precision Orthogonalization Scheme and Adaptive Step Size for CA-GMRES on GPUs

Energy Efficiency Benefits of Reducing the Voltage Guardband on the Kepler GPU Architecture

Accelerated Computation of Minimum Enclosing Balls by GPU Parallelization and Distance Filtering

Parallelizing the cellular potts model on GPU and multi-core CPU: An OpenCL cross-platform study

High-Level Programming Framework for Executing Streaming Applications on Heterogeneous OpenCL Platforms

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition

Speedup of Micromagnetic Simulations with C++ AMP On Graphics Processing Units

Performance and Efficiency Analysis of Modern Accelerators: Fine-Grained Parallelism on the Intel Xeon Phi

Evaluation of DGEMM Implementation on Intel Xeon Phi Coprocessor

Modified Bloom filter for high performance hybrid NoSQL systems

Implementation of the genetic algorithm by means of CUDA technology involved in travelling salesman problem

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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