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Teaching Parallel Programming in Containers: Virtualization of a Heterogeneous Local Infrastructure

Naylor Garcia Bachiega

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Tags: Computer science, CUDA, Heterogeneous systems, HPC, nVidia, nVidia GeForce GTX 650, Package, Thesis, Virtualization

January 30, 2022 by hgpu

Rinnegan: Efficient Resource Use in Heterogeneous Architectures

Sankaralingam Panneerselvam, Michael Swift

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 650, nVidia GeForce GTX 670, OpenCL

October 8, 2016 by hgpu

Proteus: Efficient Resource Use in Heterogeneous Architectures

Sankaralingam Panneerselvam, Michael M. Swift

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 650, nVidia GeForce GTX 670, OpenCL, Task scheduling

March 22, 2016 by hgpu

Pairwise Sequence Alignment with Gaps with GPU

Thomas C. Carroll, Jude-Thaddeus Ojiaku, Prudence W.H. Wong

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 650, OpenCL, Sequence alignment

October 27, 2015 by hgpu

Contributions to the Efficient Use of General Purpose Coprocessors: Kernel Density Estimation as Case Study

Unai Lopez Novoa

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Tags: Algorithms, ATI, ATI Radeon HD 6950, Computational Complexity, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia GeForce GTX 650, OpenCL, Thesis

September 8, 2015 by hgpu

Speedup of Type-1 Fuzzy Logic Systems on Graphics Processing Units Using CUDA

Durlabh Chauhan, Satvir Singh, Sarabjeet Singh, Vijay Kumar Banga

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 650

August 26, 2014 by hgpu

SPH Fluids for Viscous Jet Buckling

Luiz Fernando de Souza Andrade, Marcos Sandim, Fabiano Petronetto, Paulo Pagliosa, Afonso Paiva

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 650

July 12, 2014 by hgpu

Speeding up a Video Summarization Approach Using GPUs and Multicore CPUs

Suellen S. de Almeida, Antonio Carlos de Nazare Junior, Arnaldo de Albuquerque Arauujo, Guillermo Camara-Chavez, David Menotti

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 650, Package

June 27, 2014 by hgpu

Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU

Jinwei Wang, Xirong Ma, Yuanping Zhu, Jizhou Sun

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 650

January 26, 2014 by hgpu

Fast Image Alignment with Fourier Moment Matching on GPU

Hong-Ren Su, Hao-Yuan Kuo, Shang-Hong Lai, Chin-Chia Wu

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Tags: CUDA, Image alignment, Image processing, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 650

December 18, 2013 by hgpu

Fractal Based Method on Hardware Acceleration for Natural Environments

Divya Udayan J, HyungSeok Kim, Jun Lee, Jee-In Kim

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 650, Rendering

November 30, 2013 by hgpu

GPU Accelerated Blood Flow Computation using the Lattice Boltzmann Method

Cosmin Nita, Lucian Mihai Itu, Constantin Suciu, Constantin Suciu

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Medicine, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 650, nVidia GeForce GTX 680

October 30, 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

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high performance computing on graphics processing units: hgpu.org

Teaching Parallel Programming in Containers: Virtualization of a Heterogeneous Local Infrastructure

Rinnegan: Efficient Resource Use in Heterogeneous Architectures

Proteus: Efficient Resource Use in Heterogeneous Architectures

Pairwise Sequence Alignment with Gaps with GPU

Contributions to the Efficient Use of General Purpose Coprocessors: Kernel Density Estimation as Case Study

Speedup of Type-1 Fuzzy Logic Systems on Graphics Processing Units Using CUDA

SPH Fluids for Viscous Jet Buckling

Speeding up a Video Summarization Approach Using GPUs and Multicore CPUs

Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU

Fast Image Alignment with Fourier Moment Matching on GPU

Fractal Based Method on Hardware Acceleration for Natural Environments

GPU Accelerated Blood Flow Computation using the Lattice Boltzmann Method

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

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