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Evan Jolley

dblp:137/0474 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 61% Interconnection networks and networks-on-chip · 30% Energy-efficient computing · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems
cache coherence
0.212014
Extending the Performance and Energy-Efficiency of Shared Memory Multicores with Nanophotonic Technology · IEEE Trans. Parallel Distributed Syst. 2014
Memory systems › cache coherence › cache coherence protocol
snoopy coherence
0.212014
Extending the Performance and Energy-Efficiency of Shared Memory Multicores with Nanophotonic Technology · IEEE Trans. Parallel Distributed Syst. 2014
Energy-efficient computing › energy-efficient communication
on-chip interconnect energy
0.112014
Extending the Performance and Energy-Efficiency of Shared Memory Multicores with Nanophotonic Technology · IEEE Trans. Parallel Distributed Syst. 2014

Methods — techniques the papers use, named apart from their topics

simulation · 0.2
YearPublicationVenuePosition
2014 Extending the Performance and Energy-Efficiency of Shared Memory Multicores with Nanophotonic Technology
abstract
As the number of cores increases exponentially on a single chip, the design and integration of both the on-chip network facilitating intercore communication, and the cache coherence protocol for enabling shared memory programming have become critical for improved energy-efficiency and overall chip performance. With traditional metal interconnects facing stringent energy constraints, researchers are currently pursuing disruptive solutions such as nanophotonics for improved energy-efficiency. Cache coherence in multicores can be enforced effectively by snoopy protocols; however, broadcasting every cache miss can limit the scalability while consuming excess energy. In this paper, we propose PULSE, a nanophotonic broadcast tree-based network for snoopy cache coherent multicores. To limit the energy-penalty from broadcasting (and thereby splitting) optical signals, we direct the optical signal from the external laser such that only the subset of requesters can receive the optical signal. Furthermore, as cache blocks are shared by a few cores, we propose a multicast version of PULSE called multi-PULSE that predicts the sharers' for each L2 miss and morphing the broadcast to a multicast network. We evaluate the energy and performance using CACTI and SIMICS on 16-core and 64-core versions of PULSE and multi-PULSE for Splash-2, PARSEC, and SPEC CPU2006 benchmarks and compare to electrical networks, optical networks, and another cache filtering techniques. Our results indicate that PULSE outperforms competitive electrical/optical networks by 60 percent in terms of execution time, and multi-PULSE reduces average energy from 10 to 80 percent even with a few mispredictions.
Randy Morris, Evan Jolley, Avinash Karanth
IEEE Trans. Parallel Distributed Syst.2