high performance computing on graphics processing units: hgpu.org

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Efficient algorithms for the realistic simulation of fluids

Jesus Ojeda Contreras

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, nVidia GeForce GTX 280, Thesis, Visualization

July 16, 2013 by hgpu

A model of dynamic compilation for heterogeneous compute platforms

Andrew Kerr

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, OpenCL, PTX, Thesis

June 29, 2013 by hgpu

CLgrep: A Parallel String Matching Tool

Peng Wu

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Source codes

Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Package, String matching, Thesis

May 20, 2013 by hgpu

The Lattice Boltzmann Equation Method for Complex Flows

Laura Schaefer, Michael Ikeda, Jie Bao

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Tags: Boltzmann equation, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 280, Physics

May 15, 2013 by hgpu

Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

Dan Connors

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Tags: Computer science, Computer vision, CUDA, Education, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

May 11, 2013 by hgpu

Programming and Performance of Graphics Processors in Shock Waves Simulation by Finite Volume Method

Chi-Jer Yu, Chii-Tung Liu

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Tags: Algorithms, Computer science, CUDA, Finite volume method, nVidia, nVidia GeForce GTX 280

May 8, 2013 by hgpu

Accelerating Population Balance Model-based particulate process simulations via parallel computing

Anuj Varghese Prakash

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Tags: Biochemistry, Chemistry, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Thesis

April 26, 2013 by hgpu

GPU Accelerated Face Detection (thesis)

Jussi Makela

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Thesis

April 17, 2013 by hgpu

High Performance Computing on GPU for Electromagnetic Logging

V.N. Glinskikh, A.E. Kontorovich, M.I. Epov

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 460, Tesla C1060

April 12, 2013 by hgpu

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Robert Halstead, Walid Najjar

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Sparse matrix

April 8, 2013 by hgpu

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

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Tags: CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Pharmaceuticals

March 29, 2013 by hgpu

Adaptive OpenCL (ACL) Execution in GPU Architectures

Dan Connors, Kyle Dunn, Jeff Wiencrot

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Tags: Algorithms, Computer science, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

March 26, 2013 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Efficient algorithms for the realistic simulation of fluids

A model of dynamic compilation for heterogeneous compute platforms

CLgrep: A Parallel String Matching Tool

The Lattice Boltzmann Equation Method for Complex Flows

Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

Programming and Performance of Graphics Processors in Shock Waves Simulation by Finite Volume Method

Accelerating Population Balance Model-based particulate process simulations via parallel computing

GPU Accelerated Face Detection (thesis)

High Performance Computing on GPU for Electromagnetic Logging

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

Adaptive OpenCL (ACL) Execution in GPU Architectures

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)