high performance computing on graphics processing units: hgpu.org

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GPU-based Acceleration of System-level Design Tasks

Unmesh Bordoloi, Samarjit Chakraborty

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Tags: Computer science, Design space exploration, Electronic design automation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Timing analysis

November 7, 2010 by hgpu

Evolution of thread-level parallelism in desktop applications

Geoffrey Blake, Ronald G. Dreslinski, Trevor Mudge, Krisztian Flautner

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Tags: Benchmarking, Computer science, Measurement techniques, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 285, nVidia ION

November 7, 2010 by hgpu

Data-intensive document clustering on GPU clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Computer science, CUDA, Data mining, GPU cluster, nVidia

November 7, 2010 by hgpu

Real-time 3D registration using GPU

Soon-Yong Park, Sung-In Choi, Jun Kim, Jeong Chae

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 260

November 7, 2010 by hgpu

A GPU implementation for LBG and SOM training

Yi Xiao, Chi Leung, Tze-Yui Ho, Ping-Man Lam

Tags: Computer science, Neural Computing, Self-organizing map, Vector quantization

November 6, 2010 by hgpu

Exploring the multiple-GPU design space

Dana Schaa, David Kaeli

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GTX

November 6, 2010 by hgpu

A Practical Quicksort Algorithm for Graphics Processors

Daniel Cederman, Philippas Tsigas

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Sorting

November 6, 2010 by hgpu

StoreGPU: exploiting graphics processing units to accelerate distributed storage systems

Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santos-Neto, George Yuan, Matei Ripeanu

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 9800 GTX, Package, Storage system

November 6, 2010 by hgpu

Programming model for a heterogeneous x86 platform

Bratin Saha, Xiaocheng Zhou, Hu Chen, Ying Gao, Shoumeng Yan, Mohan Rajagopalan, Jesse Fang, Peinan Zhang, Ronny Ronen, Avi Mendelson

Tags: Computer science, Distributed data structures, Programming techniques

November 6, 2010 by hgpu

Maintaining constant frame rates in 3D texture-based volume rendering

D. Weiskopf, M. Weiler, T. Ertl

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800 Pro, Computer science, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Raytracing, Rendering

November 6, 2010 by hgpu

Fast scale invariant feature detection and matching on programmable graphics hardware

Nico Cornelis, Luc Van Gool

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

November 6, 2010 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

GPU-based Acceleration of System-level Design Tasks

Evolution of thread-level parallelism in desktop applications

Data-intensive document clustering on GPU clusters

Real-time 3D registration using GPU

A GPU implementation for LBG and SOM training

Exploring the multiple-GPU design space

A Practical Quicksort Algorithm for Graphics Processors

StoreGPU: exploiting graphics processing units to accelerate distributed storage systems

Programming model for a heterogeneous x86 platform

Maintaining constant frame rates in 3D texture-based volume rendering

Fast scale invariant feature detection and matching on programmable graphics hardware

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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