high performance computing on graphics processing units: hgpu.org

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Acceleration as a Service (XaaS) Source Containers

Eiman Alnuaimi

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Tags: Computer science, Heterogeneous systems, HPC, Intel, Intel Data Center GPU Max 1550, LLM, MPI, nVidia, nVidia GH200, nVidia V100, Optimization, Package, performance portability, Thesis

June 8, 2025 by hgpu

Low-cost edge computing using upcycled smartphones

Corentin Libert

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Tags: Computer science, Package, Performance, TensorFlow, Thesis

May 25, 2025 by hgpu

Efficient deep learning inference on end devices

Ehsan Aghapour

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Tags: Artificial intelligence, Computer science, Deep learning, Heterogeneous systems, OpenCL, Package, Thesis

May 4, 2025 by hgpu

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Jiyuan Wang

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Tags: Benchmarking, Computer science, FPGA, Heterogeneous systems, oneAPI, Package, Python, Thesis

March 30, 2025 by hgpu

Optimizing the optimizer increasing performance efficiency of modern compilers

Hafsah Shahzad

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Tags: Compilers, Computer science, FPGA, HLS, Intel, nVidia, nVidia GeForce RTX 4070, Thesis

February 10, 2025 by hgpu

Modernization and Optimization of MPI Codes

Tim Jammer

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Tags: Benchmarking, Computer science, HPC, MPI, OpenMP, Package, Performance, Thesis

February 3, 2025 by hgpu

Adaptive Optimization Techniques for High-Performance Computing

Gulsum Gudukbay Akbulut

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Tags: Computer science, CUDA, Deep learning, HPC, Machine learning, nVidia, Optimization, Performance, Tesla K80, Thesis

January 27, 2025 by hgpu

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Avinash Maurya

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Tags: AI, Artificial intelligence, Computer science, CUDA, Deep learning, HPC, nVidia, nVidia DGX-A100, Package, Thesis

December 29, 2024 by hgpu

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

Chenle Yu

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Tags: Computer science, CUDA, nVidia, nVidia V100, OpenMP, Package, Thesis

December 15, 2024 by hgpu

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

Simone Balducci

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Tags: Astrophysics, ATI, Clustering, CUDA, FPGA, HIP, Machine learning, nVidia, Package, performance portability, Physics, Python, Tesla T4, Thesis

December 1, 2024 by hgpu

Data-Driven Dynamic Autotuning: Optimizing Autotuning Overhead with Prior Tuning Data

Jaroslav Oľha

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Tags: AMD Radeon RX Vega 56, ATI, Auto-Tuning, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 1070, nVidia GeForce GTX 680, nVidia GeForce GTX 750, nVidia GeForce RTX 2080 Ti, OpenCL, Performance, Tesla K20, Thesis

November 3, 2024 by hgpu

General-Purpose Computing on Tensor Processors

Kuan-Chieh Hsu

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Tags: Artificial intelligence, Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce RTX 2080, nVidia GeForce RTX 3090, nVidia Jetson Nano, Package, Sparse matrix, Thesis, TPU

October 27, 2024 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

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high performance computing on graphics processing units: hgpu.org

Theses

Acceleration as a Service (XaaS) Source Containers

Low-cost edge computing using upcycled smartphones

Efficient deep learning inference on end devices

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Optimizing the optimizer increasing performance efficiency of modern compilers

Modernization and Optimization of MPI Codes

Adaptive Optimization Techniques for High-Performance Computing

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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

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

Data-Driven Dynamic Autotuning: Optimizing Autotuning Overhead with Prior Tuning Data

General-Purpose Computing on Tensor Processors

Recent source codes

XaaS containers

microSYCL: SYCL micro-benchmarks repository

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

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