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Parallel slowdown
Slicing (Draft)
Assessing Gains from Parallel Computation on a Supercomputer
Instruction Level Parallelism Example
Minimizing Startup Costs for Performance-Critical Threading
18-447 Lecture 21: Parallelism – ILP to Multicores Parallel
Performance of Physics-Driven Procedural Animation of Character Locomotion for Bipedal and Quadrupedal Gait
Easy Dataflow Programming in Clusters with UPC++ Depspawn
Econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible
Extracting Parallelism from Legacy Sequential Code Using Transactional Memory
Optimization Techniques for Efficient HTA Programs
Introduction to MPI
Performance Loss Between Concept and Keyboard
FDTD) Algorithms on a Selection of High Performance Multiprocessor Computing Systems
Bounds on Series-Parallel Slowdown
Tomorrow's Energy: Hydrogen, Fuel Cells, and The
Parallel Computing 1 Parallel Computing
Reagents: Expressing and Composing Fine-Grained Concurrency
Uni Ed Interference-Free Parallel, Concurrent and Distributed
Top View
Evaluation and Benchmarking of Singularity MPI Containers on EU
Intel Concurrent Collections for Haskell Ryan Newton, Chih-Ping Chen, and Simon Marlow
N2104=06-0174 Date: 2006-09-29 Project: Programming Language C++ Reply To: Arch D
Computational Improvements of Microaggregation Algorithms for the Anonymization of Large-Scale Datasets
Stepping Into a New Epoch: X1 for HPC and AI
Performance Analysis of a Parallel Computing Algorithm Developed for Space Weather Simulation
A Flexible and Dynamic Page Migration Infrastructure Based on Hardware Counters
Rapid Monte Carlo Simulations Using Parallel Computing and a Client-Server Model
Consolidated Management Report
A Programming Language for Parallel Event-Driven Development
Stepping Into a New Epoch: X1 for HPC and AI
Skeletons for Exact Combinatorial Search
Assessing Gains from Parallel Computation on Supercomputers
Modeling Performance Degradation in Openmp Memory Bound Applications on Multicore Multisocket Systems
Scheduling for Interactive and Parallel Applications on Grids
Spark for HPC: a Comparison with MPI on Compute-Intensive Applications Using Monte Carlo Method