ScholarIQanswers from OpenAlex
Parallel Computing and Optimization Techniques
TopicLeading institutions, researchers & key papers
Parallel Computing and Optimization Techniques is a topic indexed in ScholarIQ from OpenAlex.
What is known about Parallel Computing and Optimization Techniques?
ScholarIQrecord summary
This cluster of papers focuses on parallel computing, performance optimization, and various aspects of multicore and heterogeneous computing. It covers topics such as GPU computing, memory systems, benchmarking, power management, simulation platforms, and high-performance computing.
How many works does Parallel Computing and Optimization Techniques have?
ScholarIQindexed works
Parallel Computing and Optimization Techniques has 51 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Parallel Computing and Optimization Techniques?
ScholarIQopenalex
The OpenAlex for Parallel Computing and Optimization Techniques is on the source record.
What are the most-cited papers on Parallel Computing and Optimization Techniques?
ScholarIQmost cited works
The Jalapeño virtual machine
Bowen Alpern, C. R. Attanasio, John Barton, Michael Burke, Pau-Chen Cheng, Jong-Min Choi, Anthony Cocchi, Stephen J. Fink, David Grove, Michael Hind, Susan Flynn Hummel, Derek Lieber, Vassily Litvinov, Mark Mergen, T. Ngo, James R. Russell, Vivek Sarkar, Maurício Serrano, Janice C. Shepherd, S. E. Smith, Vugranam C. Sreedhar, Harini Srinivasan, John Whaley
Accelerating Compute-Intensive Applications with GPUs and FPGAs
Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John Lach
Interprocedural dependence analysis and parallelization
Michael Burke, Ron K. Cytron
An overview of the PTRAN analysis system for multiprocessing
Frances Allen, Michael Burke, Philippe Charles, Ron K. Cytron, Jeanne Ferrante
C-Pack: A High-Performance Microprocessor Cache Compression Algorithm
Xi Chen, Lei Yang, Robert P. Dick, Shang Li, Haris Lekatsas
Where is Parallel Computing and Optimization Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Parallel Computing and Optimization Techniques is open access?
ScholarIQopen access share
27%OPEN ACCESS