Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Using integer sets for data-parallel program analysis and optimization
Vikram Adve
, John Mellor-Crummey
Research output
:
Contribution to conference
›
Paper
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Using integer sets for data-parallel program analysis and optimization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Data Parallelism
100%
Parallel Programming
100%
Compiler
100%
Program Optimization
100%
Program Analysis
100%
Integer Set
100%
Computation Partitioning
50%
Symbolic numbers
50%
High Performance
25%
Fortran
25%
Rice
25%
Data Distribution
25%
Performance Measurement
25%
Partition Model
25%
Tuple
25%
Compile Time
25%
Generated Code
25%
Advanced Optimization
25%
Partitioned Analysis
25%
Implementation Experience
25%
Set Representation
25%
Communication Analysis
25%
Computer Science
Program Analysis
100%
Parallel Program
100%
Computation Partitioning
100%
Symbolic Number
100%
Data Distribution
50%
Fortran
50%
Set Formulation
50%
Abstract Operation
50%