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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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ReFiRe: Efficient Deployment of Remote Fine-Grained Reconfigurable Accelerators

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Author
Pissadakis E., Alachiotis N., Skrimponis P., Theodoropoulos D., Korakis T., Pnevmatikatos D.
Date
2018
Language
en
DOI
10.1109/FPT.2018.00064
Keyword
Bioinformatics
Data transfer
Particle accelerators
Synchronization
Accelerator system
Communication and synchronizations
disaggregated computing
Partial reconfiguration
Positive selection
Reconfigurable
Scope of application
Specialized hardware
Acceleration
Institute of Electrical and Electronics Engineers Inc.
Metadata display
Abstract
The need for specialized hardware acceleration in today's computing platforms is well established, due to power and efficiency reasons. Broadening an accelerator's scope of application is highly desirable, but requires a finer-grained architecture with basic primitives, which inevitably exhibits increased communication and synchronization requirements. In disaggregated-computing environ-ments, where data transfers between remote nodes are realized via datacenter-wide packet exchanges, reducing communication and synchronization is a prerequisite for the effective employment of remote acceleration. To this end, we present ReFiRe (Remote Fine-grained Reconfigurable acceleration), a generic deployment framework with native support for partial reconfiguration that allows to considerably reduce communication needs between a processor and remote accelerators. This is achieved by shifting control flow, partial reconfiguration, and execution decisions to the remote side through arbitrarily long instructions that encapsulate complex sequences of operations and their re-spective synchronization requirements. ReFiRe outperforms an SDSoC-generated accelerator system that employs the same accelerator cores to boost performance of a genomics application that detects positive selection. © 2018 IEEE.
URI
http://hdl.handle.net/11615/78239
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