high performance computing on graphics processing units: hgpu.org

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Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Sanjay Chatterjee, Max Grossman, Alina Sbirlea, Vivek Sarkar

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Tags: Computer science, CUDA, Data parallelism, nVidia, Task scheduling, Tesla C2050

November 29, 2011 by hgpu

Directives Based Programming of GPU Accelerated Systems

Saif Mulla

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Tags: Computer science, CUDA, Molecular dynamics, nVidia, Programming techniques, Tesla C2050, Thesis

November 29, 2011 by hgpu

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

Dan Upton

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

November 29, 2011 by hgpu

GPGPU Volume Classification using SimpleOpenCL

Oscar Amoros, Sergio Escalera, Anna Puig, Maria Salamo

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Tags: Computer science, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Visualization

November 29, 2011 by hgpu

Solving Dense Generalized Eigenproblems on Multi-threaded Architectures

Jose I. Aliaga, Paolo Bientinesi, Davor Davidovic, Edoardo Di Napoli, Francisco D. Igual, Enrique S. Quintana-Orti

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Tags: Computer science, CUDA, Linear Algebra, Mathematical Software, Molecular dynamics, nVidia, Performance, Tesla C2050

November 29, 2011 by hgpu

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Wenbin Li, Sven Simon, Steffen Kiess

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Tags: Algorithms, Computer science, CUDA, Floating point error, Hybrid computing, nVidia, nVidia GeForce GTX 480

November 28, 2011 by hgpu

Anytime Algorithms for GPU Architectures

Rahul Mangharam, Aminreza Abrahimi Saba

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Tags: Algorithms, Computer science, CUDA, nVidia, Vehicular traffic

November 28, 2011 by hgpu

Efficient Parallel Nonnegative Least Squares on Multicore Architectures

Yuancheng Luo, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Factorization, Nonnegative matrix factorization, nVidia, Package, Tesla C2050

November 28, 2011 by hgpu

Parallel Pseudo-Random Number Generation

Nimalan Nandapalan, Richard Brent

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenCL, Pseudo-random number generators, Review

November 28, 2011 by hgpu

Assembly of finite element methods on graphics processors

Cris Cecka, Adrian J. Lew, E. Darve

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX, Tesla C1060

November 27, 2011 by hgpu

Computing room acoustics with CUDA-3D FDTD schemes with boundary losses and viscosity

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, Numerical simulation, nVidia, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

A GPU-based Simulation for Stochastic Computing

Peng Li, Weijun Xiao, David J. Lilja

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, nVidia, Probability, Stochastic simulation, Tesla C2050

November 27, 2011 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

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Directives Based Programming of GPU Accelerated Systems

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

GPGPU Volume Classification using SimpleOpenCL

Solving Dense Generalized Eigenproblems on Multi-threaded Architectures

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Anytime Algorithms for GPU Architectures

Efficient Parallel Nonnegative Least Squares on Multicore Architectures

Parallel Pseudo-Random Number Generation

Assembly of finite element methods on graphics processors

Computing room acoustics with CUDA-3D FDTD schemes with boundary losses and viscosity

A GPU-based Simulation for Stochastic Computing

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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