high performance computing on graphics processing units: hgpu.org

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Optimizing Performance and Energy Efficiency in Massively Parallel Systems

Raúl Nozal González

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Tags: AMD Radeon RX 5700 XT, ATI, Computer science, Heterogeneous systems, HPC, nVidia, nVidia GeForce GTX 950, nVidia GeForce GTX Titan X, OpenCL, Package, Performance, SYCL, Tesla K20, Thesis

April 10, 2022 by hgpu

Advanced Joins on GPUs

Christos Bellas

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX Titan XP, Package, Thesis

March 27, 2022 by hgpu

Simulation Methodologies for Mobile GPUs

Kuba Kaszyk

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Tags: Computer science, Design space exploration, OpenCL, simulation, Thesis

March 27, 2022 by hgpu

Managing Extreme Heterogeneity in Next Generation HPC Systems

Harsh Khetawat

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Tags: Computer science, FPGA, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 2060, OpenCL, Thesis

March 20, 2022 by hgpu

Integrating SkePU’s algorithmic skeletons with GPI on a cluster

Joel Almqvist

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Tags: Computer science, CUDA, Distributed computing, HPC, MPI, nVidia, OpenCL, OpenMP, Thesis

March 6, 2022 by hgpu

Pattern-based Programming Abstractions for Heterogeneous Parallel Computing

August Ernstsson

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Tags: Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, OpenCL, Tesla K20, Thesis

February 13, 2022 by hgpu

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

Research and Development of Porting SYCL on QNX Operating System for High Parallelism

Dengpan Wang

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Operating systems, PTX, SYCL, Thesis

January 16, 2022 by hgpu

System-Level Optimization and Code Generation for Graphics Processors using a Domain-Specific Language

Bo Qiao

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Tags: Code generation, Computer science, CUDA, Image processing, Machine learning, nVidia, nVidia GeForce GTX 680, nVidia GeForce RTX 2080, OpenCL, Package, performance portability, Tesla K20, Thesis

January 2, 2022 by hgpu

OpenCL-HPX Integration

Michael Schupikov

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 1080 Ti, nVidia GeForce RTX 3080, OpenCL, Thesis

December 26, 2021 by hgpu

Optimization of Compiler-generated OpenCL CNN Kernels and Runtime for FPGAs

Seung-Hun Chung

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Tags: Computer science, FPGA, Neural networks, nVidia, nVidia GeForce GTX 1060, OpenCL, Performance, Thesis

December 19, 2021 by hgpu

Programming Heterogeneous Systems with General and Domain-Specific Frameworks

Lukas Sommer

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce RTX 2070, OpenCL, OpenMP, Package, Python, Thesis

November 21, 2021 by hgpu

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Faial: finds bugs in CUDA kernels

Sound and Partially-Complete Static Analysis of Data-Races in GPU Programs

Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation

UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications

Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL

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high performance computing on graphics processing units: hgpu.org

Optimizing Performance and Energy Efficiency in Massively Parallel Systems

Advanced Joins on GPUs

Simulation Methodologies for Mobile GPUs

Managing Extreme Heterogeneity in Next Generation HPC Systems

Integrating SkePU’s algorithmic skeletons with GPI on a cluster

Pattern-based Programming Abstractions for Heterogeneous Parallel Computing

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

Research and Development of Porting SYCL on QNX Operating System for High Parallelism

System-Level Optimization and Code Generation for Graphics Processors using a Domain-Specific Language

OpenCL-HPX Integration

Optimization of Compiler-generated OpenCL CNN Kernels and Runtime for FPGAs

Programming Heterogeneous Systems with General and Domain-Specific Frameworks

Recent source codes

EnergyUCB-Bandit

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Faial: finds bugs in CUDA kernels

Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation

Intel® SHMEM: Device initiated shared memory based communication library

miniLB: Lattice Botlzmann miniapp w/SYCL

AFOCL

2domination

MFC: Exascale simulation of multiphase/physics fluid dynamics

UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications

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