high performance computing on graphics processing units: hgpu.org

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Multidimensional Parallelization for Streaming Text Processing Applications Based on Parabix Framework

Dan Lin

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Tags: Algorithms, Computer science, Data parallelism, LLVM, nVidia, nVidia GeForce GTX 950, Package, PTX, Thesis

April 28, 2018 by hgpu

Verification of Program Parallelization

Saeed Darabi

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Tags: Computer science, OpenCL, OpenMP, Parallel programming, Thesis

April 7, 2018 by hgpu

FPGA in HPC: High Level Synthesys of OpenCL kernels for Molecular Dynamics

Paolo Gorlani

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Tags: Computer science, FPGA, Molecular dynamics, OpenCL, Thesis

March 22, 2018 by hgpu

Multithreaded Dense Linear Algebra on Asymmetric Multi-core Processors

Sandra Catalan Pallares

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Tags: ARM, Benchmarking, Computer science, Factorization, Linear Algebra, Thesis

March 10, 2018 by hgpu

Programming Abstractions and Optimization Techniques for GPU-based Heterogeneous Systems

Lu Li

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Tesla C1060, Tesla C2050, Tesla K20, Tesla M2050, Thesis

March 10, 2018 by hgpu

Transforming and Optimizing Irregular Applications for Parallel Architectures

Jing Zhang

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Tags: Computer science, CUDA, nVidia, Performance, Tesla K20, Thesis

February 17, 2018 by hgpu

Accelerating Interpreted Programming Languages on GPUs with Just-In-Time Compilation and Runtime Optimisations

Juan Jose Fumero Alfonso

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Tags: AMD Radeon R9 295X2, ATI, Computer science, Java, nVidia, nVidia GeForce GTX Titan Black, OpenCL, R, Thesis

February 15, 2018 by hgpu

Communication Architectures for Scalable GPU-centric Computing Systems

Benjamin Klenk

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K20, Thesis

January 28, 2018 by hgpu

Improving Communication Performance in GPU-Accelerated HPC Clusters

Iman Faraji

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Package, Performance, Thesis

January 28, 2018 by hgpu

Using reconfigurable computing technology to accelerate matrix decomposition and applications

Xinying Wang

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Tags: Computer science, Data mining, Factorization, FPGA, Intel Xeon Phi, Matrix decomposition, Semantic indexing, Signal processing, Text mining, Thesis

December 28, 2017 by hgpu

Design and Implementation of the Futhark Programming Language

Troels Henriksen

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Tags: AMD FirePro W8100, ATI, Computer science, Haskell, High-level Languages, nVidia, OpenCL, Package, Tesla K40, Thesis

December 28, 2017 by hgpu

Accelerated Sparse Matrix Operations in Nonlinear Least Squares Solvers

Lukas Polok

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Tags: Algorithms, Computer science, Differential equations, Factorization, FEM, Finite element method, Linear Algebra, nVidia, nVidia GeForce GTX 680, OpenCL, Partial differential equations, PDEs, Sparse matrix, Tesla K40, Thesis

December 19, 2017 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

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high performance computing on graphics processing units: hgpu.org

Multidimensional Parallelization for Streaming Text Processing Applications Based on Parabix Framework

Verification of Program Parallelization

FPGA in HPC: High Level Synthesys of OpenCL kernels for Molecular Dynamics

Multithreaded Dense Linear Algebra on Asymmetric Multi-core Processors

Programming Abstractions and Optimization Techniques for GPU-based Heterogeneous Systems

Transforming and Optimizing Irregular Applications for Parallel Architectures

Accelerating Interpreted Programming Languages on GPUs with Just-In-Time Compilation and Runtime Optimisations

Communication Architectures for Scalable GPU-centric Computing Systems

Improving Communication Performance in GPU-Accelerated HPC Clusters

Using reconfigurable computing technology to accelerate matrix decomposition and applications

Design and Implementation of the Futhark Programming Language

Accelerated Sparse Matrix Operations in Nonlinear Least Squares Solvers

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

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