high performance computing on graphics processing units: hgpu.org

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High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

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Tags: CUDA, FEM, Finite element method, Image processing, Medicine, nVidia, Tesla K20, Tomography

June 6, 2014 by hgpu

GPGPU opportunities for the LHCb trigger

Alexey Badalov, Daniel Campora, Gianmaria Collazuol, Marco Corvo, Stefano Gallorini, Alessio Gianelle, Elisabet Golobardes, Donatella Lucchesi, Anna Lupato, Niko Neufeld, Lorenzo Sestini, Rainer Schwemmer, Xavier Vilasis-Cardona

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, Particle physics and field theory, Physics

June 6, 2014 by hgpu

Performance models for CPU-GPU data transfers

B. van Werkhoven, J. Maassen, F.J. Seinstra, H.E. Bal

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Tags: Computer science, CUDA, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, PCIe, Performance, Performance prediction, Tesla K20

June 5, 2014 by bennotsi

Real-time Model-based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints

Karl Pauwels, Leonardo Rubio, Eduardo Ros

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 590, OpenGL

June 5, 2014 by hgpu

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian Movement

Sankha Baran Dutta

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Tags: Ant colony optimization, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Thesis

June 5, 2014 by hgpu

Mapping parallel programs to heterogeneous multi-core systems

Dominik Grewe

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Tags: Algorithms, ATI, ATI Radeon HD 7990, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Thesis

June 5, 2014 by hgpu

A Comparative Study of Game Tree Searching Methods

Ahmed A. Elnaggar, Mostafa Abdel Aziem, Mahmoud Gadallah, Hesham El-Deeb

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Tags: Algorithms, Computer science, CUDA, nVidia, Search

June 5, 2014 by hgpu

Adventures in the microlensing cloud: large datasets, eResearch tools, and GPUs

Georgios Vernardos, Christopher J Fluke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla C2070, Tesla M2090

June 5, 2014 by hgpu

Utilizing Graphics Processing Units for Rapid Facial Recognition Using Video Input

Charles J. Gala

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Pattern recognition, Tesla C2050, Thesis

June 3, 2014 by hgpu

Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

Shuvra S. Bhattacharyya

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, Signal processing

June 3, 2014 by hgpu

Revisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics

Adam McLaughlin, David A. Bader

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 560, Tesla C2075

June 3, 2014 by hgpu

Visualization Tool for GPGPU Programming

Peter J. Zeno

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Tags: Computer science, CUDA, nVidia, OpenACC, OpenCL, Visualization

June 3, 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

Applications

High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

GPGPU opportunities for the LHCb trigger

Performance models for CPU-GPU data transfers

Real-time Model-based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian Movement

Mapping parallel programs to heterogeneous multi-core systems

A Comparative Study of Game Tree Searching Methods

Adventures in the microlensing cloud: large datasets, eResearch tools, and GPUs

Utilizing Graphics Processing Units for Rapid Facial Recognition Using Video Input

Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

Revisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics

Visualization Tool for GPGPU Programming

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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