high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Adding fault tolerance to OpenCL: Through redundant heterogeneous computing

Robin Alexander Bijl

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

December 31, 2023 by hgpu

Comparative Performance and Scalability Analysis of GPU-accelerated Database Operations

Carl Andersson, Jonathan Nilsson

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Tags: Benchmarking, Computer science, CUDA, Databases, nVidia, nVidia A10, nVidia M60, Performance, Tesla T4, Thesis

December 24, 2023 by hgpu

Compiler-centric across-stack deep learning acceleration

Perry Gibson

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Tags: Compilers, Computer science, Deep learning, Design space exploration, nVidia, nVidia Jetson AGX Xavier, nVidia Titan RTX, Thesis

December 10, 2023 by hgpu

Testing and Mutation Testing for GPU Kernels

Yujie Liu

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Tags: Benchmarking, Computer science, CUDA, nVidia, Package, Performance, Thesis

December 3, 2023 by hgpu

Evaluation of FPGA-based high performance computing platforms

Martin Frick-Lundgren

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Tags: Computer science, FPGA, HPC, Intel, Intel UHD 630, Matrix multiplication, OpenCL, Package, SYCL, Thesis

November 27, 2023 by hgpu

Accelerating bioinformatics applications on CUDA-enabled multi-GPU systems

Robin Kobus

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Tags: Bioinformatics, Biology, CUDA, Databases, Hashing, nVidia, nVidia Quadro GV100, Package, Sequence alignment, Tesla P100, Tesla V100, Thesis

November 27, 2023 by hgpu

Frameworks in Medical Image Analysis with Deep Neural Networks

Dominik Müller

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Tags: Computed tomography, CT, Deep learning, Image processing, Medicine, Microscopy, Neural networks, nVidia, nVidia Titan RTX, Package, Python, Thesis, Tomography

November 27, 2023 by hgpu

Dynamic autotuning of SpMV kernel in CUSP library

Miroslav Demek

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Tags: Auto-Tuning, Computer science, nVidia, nVidia GeForce GTX 1070, nVidia GeForce RTX 2080, Performance, Sparse matrix, Thesis

October 29, 2023 by hgpu

Comparison of different n-body algorithms on various hardware platforms using SYCL

Tim Thüring

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Tags: AMD Radeon Pro VII, Astrophysics, ATI, Computer science, N-body simulation, nVidia, nVidia A100, nVidia GeForce RTX 3090, nVidia Quadro GP100, Package, Physics, SYCL, Thesis

October 15, 2023 by hgpu

Impacts of Parallel Programming on Limited-Resource Hardware

Renato Barreto Hoffmann Filho

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Tags: Computer science, CUDA, nVidia, OpenCL, Programming techniques, Thesis

October 8, 2023 by hgpu

Novel Parallelization Strategies for High-Performance DNN Training on HPC Systems

Arpan Jain

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Tags: Artificial intelligence, Computer science, CUDA, Data parallelism, Deep learning, HPC, Machine learning, MPI, Neural networks, nVidia, Speech recognition, Tesla K80, Tesla V100, Thesis

October 1, 2023 by hgpu

Compiler-assisted distribution of OpenMP code for improved scalability

Jannek Squar

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Tags: Compression, Computer science, Heterogeneous systems, LLVM, MPI, OpenMP, Package, Thesis

September 24, 2023 by hgpu

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

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high performance computing on graphics processing units: hgpu.org

Theses

Adding fault tolerance to OpenCL: Through redundant heterogeneous computing

Comparative Performance and Scalability Analysis of GPU-accelerated Database Operations

Compiler-centric across-stack deep learning acceleration

Testing and Mutation Testing for GPU Kernels

Evaluation of FPGA-based high performance computing platforms

Accelerating bioinformatics applications on CUDA-enabled multi-GPU systems

Frameworks in Medical Image Analysis with Deep Neural Networks

Dynamic autotuning of SpMV kernel in CUSP library

Comparison of different n-body algorithms on various hardware platforms using SYCL

Impacts of Parallel Programming on Limited-Resource Hardware

Novel Parallelization Strategies for High-Performance DNN Training on HPC Systems

Compiler-assisted distribution of OpenMP code for improved scalability

Recent source codes

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

PyOMP: OpenMP for Python in Numba

HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Gaia AVU-GSR

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

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