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Comparing Hardware Accelerators in Scientific Applications: A Case Study

Rick Weber, Akila Gothandaraman, Robert J. Hinde, Gregory D. Peterson

Tags: ATI, Brook, Computer science, CUDA, FPGA, nVidia, OpenCL, Performance

January 10, 2011 by hgpu

Neville elimination on multi- and many-core systems: OpenMP, MPI and CUDA

P. Alonso, R. Cortina, F. Martinez-Zaldivar, J. Ranilla

Tags: Computer science, CUBLAS, CUDA, MPI, nVidia, OpenMP

January 10, 2011 by hgpu

Dense optical flow by iterative local window registration

G. Le Besnerais, F. Champagnat

Tags: Computer science, CUDA, nVidia, Optical flow

January 10, 2011 by hgpu

CUDA-Based Radiative Transfer Method with Application to the EM Scattering from a Two-Layer Canopy Model

W.-Q. Jiang, M. Zhang, Y. Wang

Tags: CUDA, Electrodynamics, nVidia, nVidia GeForce GTS 250

January 10, 2011 by hgpu

Connected component labeling on a 2D grid using CUDA

Oleksandr Kalentev, Abha Rai, Stefan Kemnitz, Ralf Schneider

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Tags: Algorithms, Computer science, CUDA, nVidia

January 10, 2011 by hgpu

Tapping the supercomputer under your desk: solving dynamic equilibrium models with graphics processors?

Eric M. Aldrich, Jesus Fernandez-Villaverde, A. Ronald Gallant, Juan F. Rubio-Ramirez

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Source codes

Tags: CUDA, Finance, nVidia, nVidia GeForce GTX 280, Package, Tesla C1060

January 9, 2011 by hgpu

Parallel Prefix Sum (Scan) with CUDA

Mark Harris, Shubhabrata Sengupta, John D. Owens

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Visualization

January 9, 2011 by hgpu

A study on tetrahedron-based inhomogeneous Monte Carlo optical simulation

Haiou Shen, Ge Wang

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Tags: CUDA, Monte Carlo simulation, nVidia, Optics, Physics, Tesla C1060

January 9, 2011 by hgpu

Real-time object detection on CUDA

Adam Herout, Radovan Josth, Roman Juranek, Jiri Havel, Michal Hradis, Pavel Zemcik

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9800 GTX, Pattern recognition

January 9, 2011 by hgpu

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

S. Barrachina, M. Castillo, F. D. Igual, R. Mayo, E. S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 9, 2011 by hgpu

Parallel programming for multimedia applications

Hari Kalva, Aleksandar Colic, Adriana Garcia, Borko Furht

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

January 9, 2011 by hgpu

A new approach to the lattice Boltzmann method for graphics processing units

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GT 200

January 9, 2011 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Comparing Hardware Accelerators in Scientific Applications: A Case Study

Neville elimination on multi- and many-core systems: OpenMP, MPI and CUDA

Dense optical flow by iterative local window registration

CUDA-Based Radiative Transfer Method with Application to the EM Scattering from a Two-Layer Canopy Model

Connected component labeling on a 2D grid using CUDA

Tapping the supercomputer under your desk: solving dynamic equilibrium models with graphics processors?

Parallel Prefix Sum (Scan) with CUDA

A study on tetrahedron-based inhomogeneous Monte Carlo optical simulation

Real-time object detection on CUDA

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

Parallel programming for multimedia applications

A new approach to the lattice Boltzmann method for graphics processing units

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

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

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