high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Power and Performance Characterization of Computational Kernels on the GPU

Y. Jiao, H. Lin, P. Balaji, W. Feng

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Tags: Computer science, Energy-efficient computing, FFT, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

July 9, 2011 by hgpu

Accelerating data clustering on GPU-based clusters under shared memory abstraction

K.I. Karantasis, E.D. Polychronopoulos, G.N. Dimitrakopoulos

Tags: Clustering, Computer science, GPU cluster, OpenMP

July 9, 2011 by hgpu

Numerical Parallel Processing Based on GPU with CUDA Architecture

Chengming Zou, Chunfen Xia, Guanghui Zhao

Tags: Algorithms, Computer science, CUDA, Linear Algebra, Matrix inversion, nVidia

July 9, 2011 by hgpu

Utilization of GPU for real-time vision in robotics

Tomasz Kornuta, Mateusz Pruchniak

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Tags: Algorithms, Computer vision, Image processing, nVidia, nVidia GeForce GTX 275, OpenCL

July 9, 2011 by hgpu

Binary Mesh Partitioning for Cache-Efficient Visualization

Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Visualization

July 8, 2011 by hgpu

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

R.M. Amorim, B.M. Rocha, F.O. Campos, R.W. dos Santos

Tags: Code generation, Computer science, Heart, Medicine, ODEs, Ordinary differential equations

July 8, 2011 by hgpu

SCGPSim: A fast SystemC simulator on GPUs

Mahesh Nanjundappa, Hiren D. Patel, Bijoy A. Jose, Sandeep K. Shukla

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, Tesla D870

July 8, 2011 by hgpu

Implementability of shading models for current game engines

B. Atabek, A. Kumar

Tags: 3D Graphics and Realism, Computer science, Games, Shaders

July 8, 2011 by hgpu

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

A.A. Kamal, A.M. Youssef

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security

July 7, 2011 by hgpu

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Doris Chen, Deshanand Singh

Tags: Algorithms, Computer science, FPGA

July 7, 2011 by hgpu

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski

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Tags: Computational chemistry, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Presentation, Tesla C1070, Tesla S1070

July 7, 2011 by hgpu

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Brahim Betkaoui, David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, Energy-efficient computing, FPGA, nVidia, Performance, Tesla C1060

July 7, 2011 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

Power and Performance Characterization of Computational Kernels on the GPU

Accelerating data clustering on GPU-based clusters under shared memory abstraction

Numerical Parallel Processing Based on GPU with CUDA Architecture

Utilization of GPU for real-time vision in robotics

Binary Mesh Partitioning for Cache-Efficient Visualization

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

SCGPSim: A fast SystemC simulator on GPUs

Implementability of shading models for current game engines

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

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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