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EASEA parallelization of tree-based Genetic Programming

Ogier Maitre, S. Querry, Nicolas Lachiche and Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 22, 2011 by hgpu

Speedups between x70 and x120 for a generic local search (memetic) algorithm on a single GPGPU chip

Frederic Kruger, Ogier Maitre, Santiago Jimenez, Laurent Baumes and Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package, Poster

January 21, 2011 by hgpu

Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling

Ogier Maitre, Nicolas Lachiche and Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package, Poster

January 21, 2011 by hgpu

Evolving a CUDA kernel from an nVidia template

William B. Langdon, Mark Harman

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Tags: Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295

January 21, 2011 by hgpu

A CUDA SIMT interpreter for genetic programming. Revised

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, Package, Tesla T10P

January 21, 2011 by hgpu

A Many Threaded CUDA Interpreter for Genetic Programming

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 21, 2011 by hgpu

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

Oscar Mateo Lozano, Kazuhiro Otsuka

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Particle filtering, Video tracking

January 20, 2011 by hgpu

SPRAT: Runtime processor selection for energy-aware computing

Hiroyuki Takizawa, Katsuto Sato, Hiroaki Kobayashi

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Tags: Computer science, CUDA, Energy-efficient computing, High-level Languages, nVidia, nVidia GeForce 8800 GTX

January 20, 2011 by hgpu

Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling

Alexander Schick, Rainer Stiefelhagen

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro NVS 290, Pattern recognition

January 20, 2011 by hgpu

Fast development of dense linear algebra codes on graphics processors

M. Jesus Zafont, Alberto F. Martin, Francisco Igual, Enrique S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 20, 2011 by hgpu

Direct N-body Kernels for Multicore Platforms

Nitin Arora, Aashay Shringarpure, Richard W. Vuduc

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Tags: Computer science, CUDA, N-body simulation, nVidia, Tesla C1060, Tesla C870

January 20, 2011 by hgpu

Motion Estimation with Non-Local Total Variation Regularization

Manuel Werlberger, Thomas Pock, Horst Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optical flow

January 20, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

EASEA parallelization of tree-based Genetic Programming

Speedups between x70 and x120 for a generic local search (memetic) algorithm on a single GPGPU chip

Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling

Evolving a CUDA kernel from an nVidia template

A CUDA SIMT interpreter for genetic programming. Revised

A Many Threaded CUDA Interpreter for Genetic Programming

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

SPRAT: Runtime processor selection for energy-aware computing

Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling

Fast development of dense linear algebra codes on graphics processors

Direct N-body Kernels for Multicore Platforms

Motion Estimation with Non-Local Total Variation Regularization

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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