high performance computing on graphics processing units: hgpu.org

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PROST: Parallel robust online simple tracking

Jakob Santner, Christian Leistner, Amir Saffari, Thomas Pock, Horst Bischof

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Tags: Computer science, Computer vision, nVidia, Optical flow, Video tracking

July 19, 2011 by hgpu

Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models

Jan Bandouch, Michael Beetz

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Tags: Computer science, Computer vision, CUDA, nVidia, Video tracking

July 19, 2011 by hgpu

An auto-tuning framework for parallel multicore stencil computations

Shoaib Kamil, Cy Chan, Leonid Oliker, John Shalf, Samuel Williams

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Tags: Code generation, Computer science, CUDA, Fortran, nVidia, nVidia GeForce GTX 280

July 18, 2011 by hgpu

Exploring 2D tensor fields using stress nets

Andrew Wilson, Rebecca Brannon

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Tags: Computer science, Image generation, nVidia, nVidia Quadro FX 3000, OpenGL

July 18, 2011 by hgpu

The lattice-Boltzmann method for simulating gaseous phenomena

Xiaoming Wei, Wei Li, Klaus Mueller, Arie E. Kaufman

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Tags: Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce 4, Rendering, Visualization

July 18, 2011 by hgpu

Signed distance transform using graphics hardware

Christian Sigg, Ronald Peikert, Markus Gross

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Tags: ATI, ATI Radeon 9700 Pro, Computer science, Distance transform, Image generation, OpenGL, Voronoi diagram

July 18, 2011 by hgpu

Parallel simulation of Petri nets on desktop PC hardware

Robert Geist, Jacob Hicks, Mark Smotherman, James Westall

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Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5950, Package, Performance

July 18, 2011 by hgpu

3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs

Anthony Nguyen, Nadathur Satish, Jatin Chhugani, Changkyu Kim, Pradeep Dubey

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Tags: Algorithms, Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 285

July 18, 2011 by hgpu

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Jens Huthmann, Peter Muller, Florian Stock, Dietmar Hildenbrand, Andreas Koch

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Tags: CAD, Computer science, FPGA, nVidia, nVidia GeForce GTX 280

July 18, 2011 by hgpu

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, Tesla C1060

July 17, 2011 by hgpu

Improving the Performance of the Sparse Matrix Vector Product with GPUs

F. Vazquez, G. Ortega, J.J. Fernandez, E.M. Garzon

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs, Sparse matrix

July 17, 2011 by hgpu

Boosting sphere decoding speed through Graphic Processing Units

Muhammad S. Khairy, Christian Mehlfuhrer, Markus Rupp

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Tags: Computer science, CUDA, MIMO, Network communications, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 285, Package

July 17, 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

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high performance computing on graphics processing units: hgpu.org

PROST: Parallel robust online simple tracking

Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models

An auto-tuning framework for parallel multicore stencil computations

Exploring 2D tensor fields using stress nets

The lattice-Boltzmann method for simulating gaseous phenomena

Signed distance transform using graphics hardware

Parallel simulation of Petri nets on desktop PC hardware

3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Improving the Performance of the Sparse Matrix Vector Product with GPUs

Boosting sphere decoding speed through Graphic Processing Units

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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