high performance computing on graphics processing units: hgpu.org

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Interference-driven resource management for GPU-based heterogeneous clusters

Rajat Phull, Cheng-Hong Li, Kunal Rao, Srihari Cadambi, Srimat Chakradhar

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, PC cluster, Performance, Tesla C2050

August 1, 2012 by hgpu

accULL: An User-directed Approach to Heterogeneous Programming

Ruyman Reyes, Ivan Lopez, Juan J. Fumero, Francisco de Sande

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, OpenCL, Package, Python, Tesla C1060, Tesla C2050

July 31, 2012 by hgpu

A virtual memory based runtime to support multi-tenancy in clusters with GPUs

Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam Procter, Vignesh Ravi, Srimat Chakradhar

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Tesla C1060, Tesla C2050, Virtualization

July 27, 2012 by hgpu

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Malte Hoffmann, Claus-Dieter Munz, Z. J. Wang

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Tags: Algorithms, CUDA, Fluid dynamics, Graph theory, Navier-Stokes equations, NSEs, nVidia, Tesla C2050

July 26, 2012 by hgpu

Ice Simulation Using GPGPU

Shadi Alawneh, Dennis Peters

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Tags: CUDA, Earth and Space Sciences, nVidia, Tesla C2050

July 25, 2012 by hgpu

A Splitting Algorithm for Directional Regularization and Sparsification

Lars Lau Raket, Mads Nielsen

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C2050

July 24, 2012 by hgpu

A Comparative Study of OpenACC Implementations

Ruyman Reyes, Ivan Lopez, Juan J. Fumero, Francisco de Sande

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenACC, OpenCL, OpenMP, Performance, Tesla C2050

July 23, 2012 by hgpu

A Parallel Edge Preserving Algorithm for Salt and Pepper Image Denoising

M. Aldinucci, C. Spampinato, M. Drocco, M. Torquati, S. Palazzo

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Tags: Algorithms, CUDA, Image processing, nVidia, Signal denoising, Tesla C2050

July 23, 2012 by hgpu

Dynamic Overset Grid Computations for CFD Applications on Graphics Processing Units

D. Chandar, J. Sitaraman, D. Mavriplis

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Tags: CUDA, Fluid dynamics, nVidia, Optimization, Tesla C2050, Tesla C2070

July 22, 2012 by hgpu

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Hui Liu, Song Yu, Zhangxin Chen, Ben Hsieh, Lei Shao

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050, Tesla C2070

July 16, 2012 by hgpu

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

Kiran Kumar Matam, Siva Rama Krishna Bharadwaj, Kishore Kothapalli

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Sparse matrix, Tesla C2050

July 16, 2012 by hgpu

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Optimization, Performance, Programming Languages, Programming techniques, Tesla C2050

July 16, 2012 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

Interference-driven resource management for GPU-based heterogeneous clusters

accULL: An User-directed Approach to Heterogeneous Programming

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Ice Simulation Using GPGPU

A Splitting Algorithm for Directional Regularization and Sparsification

A Comparative Study of OpenACC Implementations

A Parallel Edge Preserving Algorithm for Salt and Pepper Image Denoising

Dynamic Overset Grid Computations for CFD Applications on Graphics Processing Units

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

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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