high performance computing on graphics processing units: hgpu.org

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Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Fei Wang, Jianqiang Dong, Bo Yuan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla K20

July 27, 2013 by hgpu

A unified sparse matrix data format for modern processors with wide SIMD units

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Alan R. Bishop

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Phi, Mathematical Software, nVidia, Sparse matrix, Tesla K20

July 25, 2013 by hgpu

Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU

Rong Ge, Ryan Vogt, Jahangir Majumder, Arif Alam, Martin Burtscher, Ziliang Zong

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Tesla K20

July 24, 2013 by hgpu

Bone Structure Analysis with GPGPUs

Daniel Kellenberger

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Tags: Algorithms, Medicine, nVidia, nVidia GeForce GTX 670, Tesla K20, Thesis

July 20, 2013 by hgpu

Lattice QCD on Intel Xeon Phi

Balint Joo, Dhiraj D. Kalamkar, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Kiran Pamnany, Victor W Lee, Pradeep Dubey, William Watson III

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Tags: CUDA, High Energy Physics - Lattice, Intel, Intel Phi, nVidia, Physics, QCD, Tesla K20

July 20, 2013 by hgpu

OpenCL API Extensions to achieve Multi-level Parallelism for Efficient Implementation of Strassen’s Matrix Multiplication on GPUs

Sivaramakrishnan Kasiviswanathan

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Tags: Algorithms, Computer science, Data parallelism, Matrix multiplication, nVidia, OpenCL, Tesla K20

July 19, 2013 by hgpu

Early Experiences With The OpenMP Accelerator Model

Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara Chapman

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Package, Tesla K20

July 17, 2013 by hgpu

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Dmitry Mikushin, Nikolay Likhogrud, Eddy Zheng Zhang, Christopher Bergstrom

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Tags: Code generation, Compilers, Computer science, CUDA, Fortran, nVidia, OpenACC, Package, PTX, Tesla K20

July 15, 2013 by hgpu

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

Carlo Lancia, Benedetto Scoppola

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Tags: CUDA, Ising model, Mathematical Physics, Nearest neighbour, nVidia, Physics, Tesla K20

July 14, 2013 by hgpu

CrowdCL: Web-Based Volunteer Computing with WebCL

Tommy MacWilliam, Cris Cecka

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Tags: Computer science, Distributed computing, Java, nVidia, nVidia GeForce GT 320 M, OpenCL, Package, Tesla K20

July 7, 2013 by hgpu

GPU-enabled Efficient Executions of Radiation Calculations in Climate Modelling

Sai Kiran Korwar

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Tags: CUDA, Earth and Space Sciences, nVidia, OpenACC, Tesla C2070, Tesla K20, Tesla M2090, Tesla S2050, Thesis, Weather prediction

July 5, 2013 by hgpu

Efficient linear-scaling quantum transport calculations on graphics processing units and applications on electron transport in graphene

Zheyong Fan, Andreas Uppstu, Topi Siro, Ari Harju

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Tags: Condensed matter, CUDA, Mesoscale and Nanoscale Physics, nVidia, Tesla K20

July 2, 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

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

A unified sparse matrix data format for modern processors with wide SIMD units

Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU

Bone Structure Analysis with GPGPUs

Lattice QCD on Intel Xeon Phi

OpenCL API Extensions to achieve Multi-level Parallelism for Efficient Implementation of Strassen’s Matrix Multiplication on GPUs

Early Experiences With The OpenMP Accelerator Model

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

CrowdCL: Web-Based Volunteer Computing with WebCL

GPU-enabled Efficient Executions of Radiation Calculations in Climate Modelling

Efficient linear-scaling quantum transport calculations on graphics processing units and applications on electron transport in graphene

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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