high performance computing on graphics processing units: hgpu.org

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Increasing predictability of GPU’s

David Defour

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance

March 3, 2014 by hgpu

Applications of Linux-Based QT-CUDA Parallel Architecture

Tuyou Peng, Jun Peng

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce G 105 M, OpenGL, Rendering, Visualization

March 1, 2014 by hgpu

Reducing Beamforming Calculation Time with GPU Accelerated Algorithms

Steffen Schmidt

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 590, OpenCL

March 1, 2014 by hgpu

CPU-GPU Collaboration for Output Quality Monitoring

Mehrzad Samadi, Scott Mahlke

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Tags: CUDA, Image processing, nVidia, OpenCL

March 1, 2014 by hgpu

A Multi GPU Read Alignment Algorithm with Model-based Performance Optimization

Aleksandr Drozd, Naoya Maruyama, Satoshi Matsuoka

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Tesla C2050

March 1, 2014 by hgpu

Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms

Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenMP, Sorting, Tesla M2090

March 1, 2014 by hgpu

Extending a Run-time Resource Management framework to support OpenCL and Heterogeneous Systems

Giuseppe Massari, Chiara Caffarri, Patrick Bellasi, William Fornaciari

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Tags: ATI, ATI Radeon HD 7750, Computer science, OpenCL, Task scheduling

February 28, 2014 by jumanix

Expanding the VPE-qGM Environment Towards a Parallel Quantum Simulation of Quantum Processes Using GPUs

Adriano Maron, Renata Reiser, Mauricio Pilla, Adenauer Yamin

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 640, Quantum computing

February 28, 2014 by hgpu

A high performance computing for AOM stock trading order matching using GPU

Ketsarin Rungraung, Putchong Uthayopas

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Tags: CUDA, Finance, nVidia, OpenMPI, Tesla M2050

February 28, 2014 by hgpu

Performance Assessment of A Multi-block Incompressible Navier-Stokes Solver using Directive-based GPU Programming in a Cluster Environment

Lixiang Luo, Jack R. Edwards, Hong Luo, Frank Mueller

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenACC, Tesla K20

February 28, 2014 by hgpu

Heterogenous Acceleration for Linear Algebra in Multi-Coprocessor Environments

Azzam Haidar, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, Factorization, Heterogeneous systems, Intel Xeon Phi, Linear Algebra

February 28, 2014 by hgpu

Scheduling data flow program in xkaapi: A new affinity based Algorithm for Heterogeneous Architectures

Raphael Bleuse, Thierry Gautier, Joao V. F. Lima, Gregory Mounie, Denis Trystram

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Package, Tesla C2050

February 28, 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

Increasing predictability of GPU’s

Applications of Linux-Based QT-CUDA Parallel Architecture

Reducing Beamforming Calculation Time with GPU Accelerated Algorithms

CPU-GPU Collaboration for Output Quality Monitoring

A Multi GPU Read Alignment Algorithm with Model-based Performance Optimization

Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms

Extending a Run-time Resource Management framework to support OpenCL and Heterogeneous Systems

Expanding the VPE-qGM Environment Towards a Parallel Quantum Simulation of Quantum Processes Using GPUs

A high performance computing for AOM stock trading order matching using GPU

Performance Assessment of A Multi-block Incompressible Navier-Stokes Solver using Directive-based GPU Programming in a Cluster Environment

Heterogenous Acceleration for Linear Algebra in Multi-Coprocessor Environments

Scheduling data flow program in xkaapi: A new affinity based Algorithm for Heterogeneous Architectures

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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