high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

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

Increased reliability on Intel GPUs via software diverse redundancy

Nikolaos Andriotis

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Tags: Computer science, Deep learning, Machine learning, MPI, nVidia, OpenCL, Thesis

August 20, 2023 by hgpu

Generating Parallel OpenCL and OpenMP Programs from Dataflow Graphs

Evelyn Borth

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Tags: Benchmarking, Code generation, Computer science, OpenCL, OpenMP, Thesis

August 20, 2023 by hgpu

Static and Dynamic Analyses for Efficient GPU Execution

Philip Munksgaard

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Tags: AMD Radeon Instinct MI100, ATI, Benchmarking, Computer science, nVidia, nVidia A100, OpenCL, Performance, Thesis

August 13, 2023 by hgpu

Towards Intelligent Runtime Framework for Distributed Heterogeneous Systems

Polykarpos Thomadakis

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, Nuclear physics, nVidia, OpenCL, Physics, Task scheduling, Tesla V100, Thesis

July 16, 2023 by hgpu

Improving the Performance, Portability, and Productivity of Hardware Accelerators

Pablo Antonio Martínez Sánchez

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, Matrix multiplication, Neural networks, nVidia, nVidia GeForce RTX 2080, nVidia GeForce RTX 2080 Ti, Performance, performance portability, Thesis

July 16, 2023 by hgpu

Managing, Profiling, and Optimizing Heterogeneous GPU Workloads

James Gleeson

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Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 480, nVidia GeForce RTX 2080 Ti, nVidia Grid K1, Optimization, Package, Performance, Tesla V100, Thesis, Virtualization

July 2, 2023 by hgpu

Deep Language Models for Software Testing and Optimisation

Foivos Tsimpourlas

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Tags: Benchmarking, Computer science, Deep learning, nVidia, nVidia GeForce GTX 1080, nVidia GeForce Titan X, OpenCL, Package, Software Engineering, Thesis

June 25, 2023 by hgpu

Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs

Ilargi: a GPU Compatible Factorized ML Model Training Framework

MPI-CorrBench 2.0.0

Modernization and Optimization of MPI Codes

VFLog: vertical + gpu + free join + datalog

Column-Oriented Datalog on the GPU

ViVid Project

Exploring data flow design and vectorization with oneAPI for streaming applications on CPU+GPU

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

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high performance computing on graphics processing units: hgpu.org

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

Increased reliability on Intel GPUs via software diverse redundancy

Generating Parallel OpenCL and OpenMP Programs from Dataflow Graphs

Static and Dynamic Analyses for Efficient GPU Execution

Towards Intelligent Runtime Framework for Distributed Heterogeneous Systems

Improving the Performance, Portability, and Productivity of Hardware Accelerators

Managing, Profiling, and Optimizing Heterogeneous GPU Workloads

Deep Language Models for Software Testing and Optimisation

Recent source codes

cuSZp: Fast GPU error-bounded lossy compressor for floating-point data

Kokkos C++ Performance Portability Programming EcoSystem

Training-free Post-training Efficient Sub-quadratic Complexity Attention

Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Ilargi: a GPU Compatible Factorized ML Model Training Framework

MPI-CorrBench 2.0.0

VFLog: vertical + gpu + free join + datalog

ViVid Project

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

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