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PANDORA: a parallelizing approximation-discovery framework (WIP paper)
- Source :
- LCTES
- Publication Year :
- 2019
- Publisher :
- ACM, 2019.
-
Abstract
- In this paper, we introduce PANDORA---a framework that complements existing parallelizing compilers by automatically discovering application- and architecture-specialized approximations. We demonstrate that PANDORA creates approximations that extract massive amounts of parallelism from inherently sequential code by eliminating loop-carried dependencies---a long-time goal of the compiler research community. Compared to exact parallel baselines, preliminary results show speedups ranging from 2.3x to 81x with acceptable error for many usage scenarios.
- Subjects :
- Approximate computing
Computer science
020207 software engineering
Ranging
02 engineering and technology
Parallel computing
computer.software_genre
020204 information systems
Research community
0202 electrical engineering, electronic engineering, information engineering
Parallelism (grammar)
Code (cryptography)
Compiler
Symbolic regression
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 20th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems
- Accession number :
- edsair.doi...........88dbb7cf6f292a7540f36db7f91453b3