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Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

G. Wang, Y. Xiong, J. Yun, J.R. Cavallar

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Tags: Computer vision, Image processing, OpenCL

March 23, 2014 by hgpu

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

E.M. Mahé, J.-M. Chauvet

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Tags: AMD Radeon R9 290, ATI, ATI Radeon HD 6870, nVidia, nVidia GeForce GTX Titan, OpenCL, Security

March 23, 2014 by hgpu

Accelerating Low-Fidelity Aerodynamic Codes

M. Chrust, É. Laurendeau

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Tags: CUDA, Fluid dynamics, nVidia, Tesla K20

March 22, 2014 by hgpu

CUDA Implementation of a Lattice Boltzmann Method and Code Optimization

A. Jain

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2075

March 22, 2014 by hgpu

Applying GPU Dynamic Parallelism to High-Performance Normalization of Gene Expressions

R.P. Souto, C. Osthoff, A.T.R. de Vasconcelos, D.A. Augusto, P.L. da Silva Dias, A. Rodriguez, O. Trelles, M. Ujaldon

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Tags: CUDA, Genetics, nVidia, Sorting, Tesla K20c

March 22, 2014 by hgpu

GPU Accelerated Process Planning For CNC-Machined Parts:Industrial Components to Bone Implants

A. Joshi, M. Frank

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Tags: CAD, CUDA, nVidia, Tesla C2075

March 21, 2014 by hgpu

Concurrent learning of a Probabilistic Graphical Model on the GPU

M. Matuszak

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Tags: Bayesian, CUDA, nVidia, nVidia GeForce GTX 480, Path problems

March 21, 2014 by hgpu

Implementation of Parallel Fast Hartley Transform (FHT) Using Cuda

H. Bantikyan

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 630, Signal processing

March 21, 2014 by hgpu

An Efficient Parallel ISODATA Algorithm Based on Kepler GPUs

S. Yang, J. Dong, B. Yuan

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Tags: Clustering, CUDA, Image processing, nVidia, nVidia GeForce GT 640, Tesla K20

March 20, 2014 by hgpu

A pattern recognition system for prostate mass spectra discrimination based on the CUDA parallel programming model

S. Kostopoulos, D. Glotsos, K. Sidiropoulos, P. Asvestas, D. Cavouras, I. Kalatzis

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 580, Pattern recognition, Signal processing

March 20, 2014 by hgpu

Multimodality imaging and state-of-art GPU technology in discriminating benign from malignant breast lesions on real time decision support system

S. Kostopoulos, K. Sidiropoulos, D. Glotsos, N. Dimitropoulos, I. Kalatzis, P. Asvestas and D. Cavouras

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce 580GTX, Pattern recognition, Ultrasound

March 19, 2014 by hgpu

Competing computational approaches to reaction-diffusion equations in clusters of cells

S. Stella, R. Chignola, E. Milotti

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Tags: Biology, CUDA, Diffusion equation, Medicine, nVidia, nVidia Quadro 4000, Partial differential equations, PDEs

March 19, 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

Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

Accelerating Low-Fidelity Aerodynamic Codes

CUDA Implementation of a Lattice Boltzmann Method and Code Optimization

Applying GPU Dynamic Parallelism to High-Performance Normalization of Gene Expressions

GPU Accelerated Process Planning For CNC-Machined Parts:Industrial Components to Bone Implants

Concurrent learning of a Probabilistic Graphical Model on the GPU

Implementation of Parallel Fast Hartley Transform (FHT) Using Cuda

An Efficient Parallel ISODATA Algorithm Based on Kepler GPUs

A pattern recognition system for prostate mass spectra discrimination based on the CUDA parallel programming model

Multimodality imaging and state-of-art GPU technology in discriminating benign from malignant breast lesions on real time decision support system

Competing computational approaches to reaction-diffusion equations in clusters of cells

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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