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Performance-aware component composition for GPU-based systems

Usman Dastgeer

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060, Tesla C2050, Thesis

April 16, 2014 by hgpu

On optimization techniques for the matrix multiplication on hybrid CPU+GPU platforms

Luis-Pedro Garcia, Javier Cuenca, Domingo Gimenez

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Tags: Computer science, CUDA, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 590, Tesla K20

April 16, 2014 by hgpu

Dynamic Instrumentation and Optimization for GPU Applications

Naila Farooqui, Christopher J. Rossbach, Yuan Yu

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla M2075

April 16, 2014 by hgpu

New Efficient Method To Solve Longest Overlap Region Problem For Noncoding DNA Sequence

Yukun Zhong, ZhiWei He, XianHong Wang, Liao Gang

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 610 M

April 16, 2014 by hgpu

A Way For Accelerating The DNA Sequence Reconstruction Problem By CUDA

Yukun Zhong, ZhiWei He, XianHong Wang, XiongBin Cao

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 610 M, Sorting

April 16, 2014 by hgpu

Fast Burrows Wheeler Compression Using CPU and GPU

Aditya Deshpande, P J Narayanan

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Source codes

Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Thrust

April 14, 2014 by hgpu

Scheduling Dataflow Execution Across Multiple Accelerators

Jon Currey, Adam Eversole, Christopher J. Rossbach

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Tags: Computer science, CUDA, nVidia, Task scheduling, Tesla K20

April 14, 2014 by hgpu

A First Order Primal-Dual Algorithm for Nonconvex TV^q Regularization

Thomas Mollenhoff, Evgeny Strekalovskiy, Daniel Cremers

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 680

April 14, 2014 by hgpu

An Approach to Efficient FEM Simulations on Graphics Processing Units Using CUDA

Bjorn Nutti, Dragan Marinkovic

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX

April 14, 2014 by hgpu

A New Architecture for Games and Simulations Using GPUs

Mark Joselli, Cristina Nader Vasconcelos, Esteban Clua

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Tags: Artificial intelligence, Computer science, CUDA, Game physics, Games, nVidia, nVidia GeForce 8800 GTS, OpenGL, Playstation, Xbox 360

April 14, 2014 by hgpu

Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities

Sangho Lee, Youngsok Kim, Jangwoo Kim, Jong Kim

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Tags: AMD FirePro W9000, ATI, ATI Radeon HD 7850, Computer science, CUDA, nVidia, nVidia GeForce GT 210, nVidia GeForce GTX 780, OpenCL, Security, Sequence matching, Tesla C2050

April 13, 2014 by hgpu

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

Jan Sikorski

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Tags: CUDA, Field equations, nVidia, nVidia GeForce GT 610, Physics, Thesis

April 13, 2014 by hgpu

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Performance-aware component composition for GPU-based systems

On optimization techniques for the matrix multiplication on hybrid CPU+GPU platforms

Dynamic Instrumentation and Optimization for GPU Applications

New Efficient Method To Solve Longest Overlap Region Problem For Noncoding DNA Sequence

A Way For Accelerating The DNA Sequence Reconstruction Problem By CUDA

Fast Burrows Wheeler Compression Using CPU and GPU

Scheduling Dataflow Execution Across Multiple Accelerators

A First Order Primal-Dual Algorithm for Nonconvex TV^q Regularization

An Approach to Efficient FEM Simulations on Graphics Processing Units Using CUDA

A New Architecture for Games and Simulations Using GPUs

Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

Recent source codes

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)

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

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