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Karthikeyan P. Saravanan

dblp:12/9083 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2018
0000-0002-9033-9731ORCID · corroborated

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

Systems, architecture and hardware · 3 · 3 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author

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
Energy-efficient computing · 91% Performance modeling and evaluation · 9%

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

TopicWeightPapersLastEvidence papers
Energy-efficient computing › power management › energy-efficient networking
energy-efficient ethernet
0.312018
PerfBound: Conserving Energy with Bounded Overheads in On/Off-Based HPC Interconnects · IEEE Trans. Computers 2018
Energy-efficient computing › energy-efficient communication
interconnect energy management
0.312018
PerfBound: Conserving Energy with Bounded Overheads in On/Off-Based HPC Interconnects · IEEE Trans. Computers 2018
Energy-efficient computing
power management
0.312018
PerfBound: Conserving Energy with Bounded Overheads in On/Off-Based HPC Interconnects · IEEE Trans. Computers 2018

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

perfbound · 0.3dynamicfastwake · 0.3
YearPublicationVenuePosition
2018 PerfBound: Conserving Energy with Bounded Overheads in On/Off-Based HPC Interconnects
abstract
Energy and power are key challenges in high-performance computing. System energy efficiency must be significantly improved, and this requires greater efficiency in all subcomponents. An important target of optimization is the interconnect, since network links are always on, consuming power even during idle periods. A large number of HPC machines have a primary interconnect based on Ethernet (about 40 percent of TOP500 machines), which, since 2010, has included support for saving power via Energy Efficient Ethernet (EEE). Nevertheless, it is unlikely that HPC interconnects would use these energy saving modes unless the performance overhead is known and small. This paper presents PerfBound, a self-contained technique to manage on/off-based networks such as EEE, minimizing interconnect link energy consumption subject to a bound on the performance degradation. PerfBound does not require changes to the applications and it uses only local information already available at switches and NICs without introducing additional communication messages, and is also compatible with multi-hop networks. PerfBound is evaluated using traces from a production supercomputer. For twelve out of fourteen applications, PerfBound has high energy savings, up to 70 percent for only 1 percent performance degradation. This paper also presents DynamicFastwake, which extends PerfBound to exploit multiple low-power states. DynamicFastwake achieves an energy-delay product 10 percent lower than the original PerfBound technique.
Karthikeyan P. Saravanan, Paul M. Carpenter
IEEE Trans. Computers1
2015 Exploring multiple sleep modes in on/off based energy efficient HPC networks
abstract
Energy efficiency is one of the key challenges in high-performance computing (HPC). The current target of 1 ExaFlop in 20 MW requires a ten-fold improvement in energy efficiency, which is only possible through significant improvements in the energy efficiency throughout the system. Interconnects are particularly inefficient, since their links are always on, consuming full power in order to provide low latency, even though the average interconnect utilization is low. To address the above, the Ethernet standards committee in-charge of 40/100/400Gb Ethernet has opted to include protocols that define low power modes, specifically Fast-Wake, alongside the older Deep-Sleep, to make interconnect links energy proportional. With these standards ratified as recently as March 2014, it is unclear how these low power modes can be used in HPC. While energy efficiency is critical, techniques with excessive performance overheads are unlikely to be adopted in HPC. To this end, this paper performs the first detailed analysis of Fast-Wake mode for link energy savings in the context of HPC. Our results show that a combination of Fast-Wake and Deep-Sleep can reduce link energy savings by up to 70% with less than 1% performance overheads. However, we show how the parameters of these low power modes must be carefully configured to obtain the right trade-offs in energy and performance. We believe that our analysis could benefit interconnect vendors looking to use these low power modes for deployment in HPC.
Karthikeyan P. Saravanan, Paul M. Carpenter, Alex Ramírez
ICCD1
2014 A performance perspective on energy efficient HPC links
abstract
Energy costs are an increasing part of the total cost of ownership of HPC systems. As HPC systems become increasingly energy proportional in an effort to reduce energy costs, interconnect links stand out for their inefficiency. Commodity interconnect links remain 'always-on', consuming full power even when no data is being transmitted. Although various techniques have been proposed towards energy-proportional interconnects, they are often too conservative or are not focused toward HPC. Aggressive techniques for interconnect energy savings are often not applied to HPC, in particular, because they may incur excessive performance overheads. Any energy-saving technique will only be adopted in HPC if there is no significant impact on performance, which is still the primary design objective.
Karthikeyan P. Saravanan, Paul M. Carpenter, Alex Ramírez
ICS1
2013 Power/performance evaluation of energy efficient Ethernet (EEE) for High Performance Computing
abstract
As of June 2012, 41 % of all systems in the TOP5OO use Gigabit Ethernet. Ethernet has been a strong contender in the HPC interconnect market for its competitive performance and low cost. However, until recently, little emphasis has been thrown upon bringing about energy efficient HPC interconnects. To illustrate, in a majority if not all Ethernet based systems, the transmitter and receiver operate at full power regardless of any data transmission between them, leading to power inefficiency. The recent standard IEEE 802.3az, Energy Efficient Ethernet (EEE), approved in 2010, solves the above conundrum by introducing "Low-Power-Idle", dynamically turning off unused links to save interconnect power. In this paper, we present the first analysis of Energy Efficient Ethernet in the domain of HPC, examining its potential for power savings. Unlike previous proposals, we present a detailed analysis of the impact of additional latency overhead introduced by EEE, using multiple simulated systems running actual HPC application traces. We propose the use of "Power-Down Threshold", as a possible add-on to EEE to mitigate its on/off transition overhead. We find that EEE brings about link power savings of about 70% by switching off links, but at the cost of performance, leading to increased power consumption of the overall system by l5% (average). In contrast, using our proposed "Power-Down Threshold", we demonstrate reduced on/off transition overhead, from 25% to 2%, translating to overall system power savings of about 7.5%. Furthermore, in this work we point out relevant design decisions for future vendors intending to deploy EEE solutions for their HPC systems.
Karthikeyan P. Saravanan, Paul M. Carpenter, Alex Ramírez
ISPASS1