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Efficient Relational Algebra Algorithms and Data Structures for GPU

Gregory Frederick Diamos, Haicheng Wu, Ashwin Lele, Jin Wang

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, Databases, Design space exploration, nVidia, Tesla C2050

March 6, 2012 by hgpu

Stargazer: Automated Regression-Based GPU Design Space Exploration

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, nVidia Quadro FX 5800

February 24, 2012 by hgpu

Power Profiling and Optimization for Heterogeneous Multi-Core Systems

Kuen Hung Tsoi, Wayne Luk

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Tags: Computer science, CUDA, Design space exploration, Energy-efficient computing, FPGA, Heterogeneous systems, N-body simulation, nVidia, Optimization, Tesla C1060

January 19, 2012 by hgpu

Architectural Exploration and Scheduling Methods for Coarse Grained Reconfigurable Arrays

Giovanni Ansaloni

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Tags: Algorithms, Computer science, Design space exploration, Heterogeneous systems, Thesis

October 28, 2011 by hgpu

Design space exploration towards a realtime and energy-aware GPGPU-based analysis of biosensor data

Constantin Timm, Frank Weichert, Peter Marwedel, Heinrich Muller

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Tags: Computer science, Design space exploration, Energy-efficient computing, Image processing, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTS 250, nVidia ION, OpenCL, Sensing

September 28, 2011 by hgpu

2PARMA: Parallel Paradigms and Run-time Management Techniques for Many-Core Architectures

C.Silvano, W.Fornaciari, S.Crespi Reghizzi, G.Agosta, G.Palermo, V.Zaccaria, P.Bellasi, F.Castro, S.Corbetta, A.Di Biagio, E.Speziale, M. Tartara, D.Siorpaes, H.Hubert, B.Stabernack, J.Brandenburg, M.Palkovic, P.Raghavan, C.Ykman-Couvreur, A.Bartzas, S.Xydis, D.Soudris, T.Kempf, G.Ascheid, R.Leupers, H.Meyr, J.Ansari, P.Mahonen, B.Vanthournout

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Tags: Compilers, Computer science, Design space exploration, OpenCL, Performance, Programming techniques, Software Engineering

September 28, 2011 by hgpu

GPGPU-Accelerated Parallel and Fast Simulation of Thousand-Core Platforms

Christian Pinto, Shivani Raghav, Andrea Marongiu, Martino Ruggiero, David Atienza, Luca Benini

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 480

July 22, 2011 by hgpu

Accelerating System-Level Design Tasks Using Commodity Graphics Hardware: A Case Study

Unmesh D. Bordoloi, Samarjit Chakraborty

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

April 12, 2011 by hgpu

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

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

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

GPU plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

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

Parallel Gaussian process with kernel approximation in CUDA

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