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Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

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Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 by hgpu

Parallel Approaches for SWAMP Sequence Alignment

Shannon Steinfadt, Kevin Schaffer

Tags: Bioinformatics, Biology, Cell processor, FPGA, nVidia, Sequence alignment, Smith-Waterman algorithm

April 19, 2011 by hgpu

A Hybrid Analytical DRAM Performance Model

George L. Yuan, Tor M. Aamodt

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Tags: Computer science, CUDA, Hardware Architecture, Memory, nVidia

April 19, 2011 by hgpu

Extending the Scalability of Single Chip Stream Processors with On-chip Caches

Ali Bakhoda, Tor M. Aamodt

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Tags: ATI, Computer science, Hardware Architecture, Memory, nVidia

April 19, 2011 by hgpu

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Wilson W. L. Fung, Ivan Sham, George Yuan, Tor M. Aamodt

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, Performance, Warp level parallelism

April 19, 2011 by hgpu

Dynamic detection of uniform and affine vectors in GPGPU computations

Sylvain Collange, David Defour, Yao Zhang

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Tags: Algorithms, Computer science, CUDA, Hardware Architecture, nVidia, Optimization, Tesla

April 19, 2011 by hgpu

Parallel calculation of the median and order statistics on GPUs with application to robust regression

Gleb Beliakov

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Source codes

Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Numerical Analysis, nVidia, Package, Tesla C2050

April 19, 2011 by hgpu

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Bernd Bruegmann

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Tags: Computational Physics, CUBLAS, CUDA, FFT, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2050, Tesla M2070

April 19, 2011 by hgpu

Practical Pre-stack Kirchhoff Time Migration of Seismic Processing on General Purpose GPU

Xiaohua Shi, Xu Wang, Changhai Zhao, Haiyan Yang

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce 8800 GT, Seismology

April 18, 2011 by hgpu

Efficient characterizations of composite materials electrical properties based on GPU accelerated finite difference method

Dagang Wu, Ji Chen

Tags: Computational Engineering, CUDA, Finite difference, nVidia, nVidia GeForce 9800 GT, Physics

April 18, 2011 by hgpu

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

Zvika Guz, Evgeny Bolotin, Idit Keidar, Avinoam Kolodny, Avi Mendelson, Uri C. Weiser

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Tags: ATI, Computer science, Intel, Larrabee, nVidia, Performance

April 18, 2011 by hgpu

Linear optimization on modern GPUs

Daniele G. Spampinato, Anne C. Elster

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Tags: CUDA, Finance, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Optimization

April 18, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Parallel Approaches for SWAMP Sequence Alignment

A Hybrid Analytical DRAM Performance Model

Extending the Scalability of Single Chip Stream Processors with On-chip Caches

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Dynamic detection of uniform and affine vectors in GPGPU computations

Parallel calculation of the median and order statistics on GPUs with application to robust regression

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Practical Pre-stack Kirchhoff Time Migration of Seismic Processing on General Purpose GPU

Efficient characterizations of composite materials electrical properties based on GPU accelerated finite difference method

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

Linear optimization on modern GPUs

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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