Integrating job parallelism in real-time scheduling theory∗ Sébastien Collette† ‡ Liliana Cucu† §

Source URL: www.ulb.ac.be

• Parallel computing
• Computing
• Scheduling
• Computer programming
• Multiprocessor scheduling
• OpenMP
• Data parallelism

A Language-Based Tuning Mechanism for Task and Pipeline Parallelism Frank Otto, Christoph A. Schaefer, Matthias Dempe, and Walter F. Tichy Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany {otto,cschaefer,dempe

Source URL: www.ipd.uka.de

NePaLTM: Design and Implementation of Nested Parallelism for Transactional Memory Systems Haris Volos1 , Adam Welc2 , Ali-Reza Adl-Tabatabai2 , Tatiana Shpeisman2 , Xinmin Tian2 , and Ravi Narayanaswamy2 1

Source URL: www.adamwelc.org

• Computing
• Concurrent computing
• Concurrency control
• Transaction processing
• Computer programming
• Parallel computing
• Databases
• Concurrent programming languages
• OpenMP
• Software transactional memory
• Linearizability
• Lock

The Tao of Parallelism in Algorithms ∗ Keshav Pingali1,3 , Donald Nguyen1 , Milind Kulkarni5 , Martin Burtscher4 , M. Amber Hassaan2 , Rashid Kaleem1 , Tsung-Hsien Lee2 , Andrew Lenharth3 ,

Source URL: iss.ices.utexas.edu

Exploiting Coarse-Grain Verification Parallelism for Power-Efficient Fault Tolerance M. Wasiur Rashid, Edwin J. Tan, and Michael C. Huang Department of Electrical & Computer Engineering University of Rochester {rashid, e

Source URL: www.ece.rochester.edu

Under consideration for publication in Math. Struct. in Comp. Science M-Adhesive Transformation Systems with Nested Application Conditions. Part 1: Parallelism, Concurrency and Amalgamation H A R T M U T E H R I G1 , U

Source URL: formale-sprachen.informatik.uni-oldenburg.de

Implicitly-threaded Parallelism in Manticore Matthew Fluet Toyota Technological Institute at Chicago Abstract

Source URL: manticore.cs.uchicago.edu

On Supporting Parallelism in a Logic Programming System V´ıtor Santos Costa1 1 CRACS and DCC-FCUP

Source URL: www.clip.dia.fi.upm.es

LVars: Lattice-based Data Structures for Deterministic Parallelism Lindsey Kuper Ryan R. Newton

Source URL: www.cs.indiana.edu

Why are Graphics Systems so Fast? Pat Hanrahan Pervasive Parallelism Laboratory Stanford University PACT Keynote September 14, 2009

Source URL: www.graphics.stanford.edu

• Video cards
• Graphics hardware
• Computer architecture
• Computer hardware
• CUDA
• GeForce 8 series
• GeForce 7 series
• GeForce 200 series
• GeForce
• Graphics processing unit
• GeForce 500 series
• GeForce 400 series