high performance computing on graphics processing units: hgpu.org

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Parallel Computation of Functions on Set Partitions

Chetan Rokhade

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Thesis

May 25, 2014 by hgpu

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

Roger Viet Hoang

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 570, Performance, Tesla C2050, Thesis, Virtual reality

May 23, 2014 by hgpu

A Comparison of Massively Parallel Programming Models Through Applications in Sound Propagation and Jitter Measurement

Torbjorn Panton Loken

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenGL, Thesis, Thrust

May 23, 2014 by hgpu

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

David Klemish

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Particle filtering, Programming techniques, Thesis, Thrust

May 21, 2014 by hgpu

Exploiting Parallelism in GPUs

Blake Alan Hechtman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Thesis

May 20, 2014 by hgpu

Paralleizing AwSpPCA for robust facial recognition using CUDA

Syed Amer Zawad

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 780, Thesis

May 18, 2014 by hgpu

Parallel Optical Flow Detection Using CUDA

Khalid Hossen, Hasan Mahmud

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 780, Optical flow, Thesis

May 18, 2014 by hgpu

Hierarchical Transparent Programming for Heterogeneous Computing

Yuri Torres de la Sierra

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Thesis

May 17, 2014 by hgpu

Real-time Image Processing on Low Cost Embedded Computers

Sunil Shah

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Tags: ARM, Computer vision, Image processing, OpenCV, Package, Performance, Thesis

May 15, 2014 by hgpu

Performance Optimization of GPU ELF-Codes

Fausto Artico

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, PTX, Tesla C2070, Thesis

May 15, 2014 by hgpu

Implementation of a distributed real-time video panorama pipeline for creating high quality virtual views

Ragnar Langseth

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Thesis

May 12, 2014 by hgpu

Dynamic Orchestration of Massively Data Parallel Execution

Mehrzad Samadi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 560, OpenCL, Performance, Tesla C2050, Thesis

May 10, 2014 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Parallel Computation of Functions on Set Partitions

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

A Comparison of Massively Parallel Programming Models Through Applications in Sound Propagation and Jitter Measurement

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

Exploiting Parallelism in GPUs

Paralleizing AwSpPCA for robust facial recognition using CUDA

Parallel Optical Flow Detection Using CUDA

Hierarchical Transparent Programming for Heterogeneous Computing

Real-time Image Processing on Low Cost Embedded Computers

Performance Optimization of GPU ELF-Codes

Implementation of a distributed real-time video panorama pipeline for creating high quality virtual views

Dynamic Orchestration of Massively Data Parallel Execution

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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