Projects per year
Abstract
Custom architectures are often adopted as more efficient alternatives to general purpose processors in terms of performance and power. However, the design of such architectures requires experts both in hardware and the application domain. In this paper we propose a method for speeding up the design space exploration. Our method, based on Pareto points, identifies sets of solutions in terms of scalar units and vector units of certain length, fulfilling the throughput constraints for each application in a given set. Architectures can then be selected by combining these solutions, as starting points for a more thorough, model-based evaluation.
Original language | English |
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Title of host publication | 2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP) |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 70-71 |
ISBN (Print) | 978-1-4799-1924-6 |
DOIs | |
Publication status | Published - 2015 |
Event | 26th IEEE International Conference on Application-specific Systems, Architectures and Processors - Toronto, Canada Duration: 2015 Jul 27 → 2015 Jul 29 |
Conference
Conference | 26th IEEE International Conference on Application-specific Systems, Architectures and Processors |
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Country/Territory | Canada |
City | Toronto |
Period | 2015/07/27 → 2015/07/29 |
Subject classification (UKÄ)
- Computer Science
Fingerprint
Dive into the research topics of 'Application-Set Driven Exploration for Custom Processor Architectures'. Together they form a unique fingerprint.Projects
- 1 Finished
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HiPEC: High Performance Embedded Computing
Gruian, F. (Researcher), Kuchcinski, K. (Researcher), Janneck, J. (Researcher), Arslan, M. A. (Researcher), Mirza, U. M. (Researcher), Zhang, C. (Researcher), Cedersjö, G. (Researcher), Prabhu, H. (Researcher), Liu, L. (Researcher), Zhu, M. (Researcher), Liu, Y. (Researcher), Edfors, O. (Researcher) & Öwall, V. (Researcher)
Swedish Foundation for Strategic Research, SSF
2011/01/01 → 2015/12/31
Project: Research