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Yigit Demir

dblp:146/3426 · DBLP profile ↗
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5ranked-venue papers
5as first author
0since 2021 · last 2016
—ORCID · none

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

Systems, architecture and hardware · 5 · 5 first-authorApplied, interdisciplinary, general and emerging computing · 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
2 papers
Interconnection networks and networks-on-chip · 41% Energy-efficient computing · 27% Memory systems · 27%
Computer networks
1 paper
Optical networks · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Optical networks
optical interconnect
0.212016
SLaC: Stage laser control for a flattened butterfly network · HPCA 2016
Memory systems
cache coherence
0.212016
Energy-Proportional Photonic Interconnects · ACM Trans. Archit. Code Optim. 2016
Memory systems › cache coherence
directory-based coherence
0.212016
Energy-Proportional Photonic Interconnects · ACM Trans. Archit. Code Optim. 2016
Interconnection networks and networks-on-chip › switching network › multistage interconnection network
flattened butterfly
0.212016
SLaC: Stage laser control for a flattened butterfly network · HPCA 2016
Energy-efficient computing › energy-efficient communication
interconnect energy management
0.212016
Energy-Proportional Photonic Interconnects · ACM Trans. Archit. Code Optim. 2016
Interconnection networks and networks-on-chip
network topology
0.212016
SLaC: Stage laser control for a flattened butterfly network · HPCA 2016
Interconnection networks and networks-on-chip
optical interconnection networks
0.212016
Energy-Proportional Photonic Interconnects · ACM Trans. Archit. Code Optim. 2016
Energy-efficient computing
power management
0.212016
Energy-Proportional Photonic Interconnects · ACM Trans. Archit. Code Optim. 2016
Cloud and datacenter computing
datacenter network
0.112016
SLaC: Stage laser control for a flattened butterfly network · HPCA 2016

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

simulation · 0.5request monitoring · 0.2proactive laser control · 0.2
YearPublicationVenuePosition
2016 SLaC: Stage laser control for a flattened butterfly network
abstract
Photonic interconnects have emerged as a promising candidate technology for high-performance energy-efficient on-chip, on-board, and datacenter-scale interconnects. However, the high optical loss of many nanophotonic components coupled with the low efficiency of current laser sources result in exceedingly high total power requirements for the laser. As optical interconnects stay on even during periods of system inactivity, most of this power is wasted, which has prompted research on laser gating. Unfortunately, prior work on laser gating has only focused on low-scalability on-chip photonic interconnects (photonic crossbars), and disrupts the connectivity of the network which renders a high-performance implementation challenging. In this paper we propose SLaC, a laser gating technique that turns on and off redundant paths in a photonic flattened-butterfly network to save laser energy while maintaining high performance and full connectivity. Maintaining full connectivity removes the laser turn-on latency from the critical path and results in minimal performance degradation. SLaC is equally applicable to on-chip, on-board, and datacenter level interconnects. For on-chip and multi-chip applications, SLaC saves up to 67% of the laser energy (43-57% on average) when running real-world workloads. On a datacenter network, SLaC saves 79% of the laser energy on average when running traffic traces collected from university datacenter servers.
Yigit Demir, Nikos Hardavellas
HPCA1
2016 Energy-Proportional Photonic Interconnects
abstract
Photonic interconnects have emerged as the prime candidate technology for efficient networks on chip at future process nodes. However, the high optical loss of many nanophotonic components coupled with the low efficiency of current laser sources results in exceedingly high total power requirements for the laser. As optical interconnects stay on even during periods of system inactivity, most of this power is wasted, which has prompted research on laser gating. Unfortunately, prior work has been complicated by the long laser turn-on delays and has failed to deliver the full savings. In this article, we propose ProLaser, a laser control mechanism that monitors the requests sent on the interconnect, the cache, and the coherence directory to detect highly correlated events and turn on proactively the lasers of a photonic interconnect. While ProLaser requires fast lasers with a turn-on delay of a few nanoseconds, a technology that is still experimental, several types of such lasers that are suitable for power gating have already been manufactured over the last decade. Overall, ProLaser saves 42% to 85% of the laser power, outperforms the current state of the art by 2× on average, and closely tracks (within 2%--6%) a perfect prediction scheme with full knowledge of future interconnect requests. Moreover, the power savings of ProLaser allow the cores to exploit a higher-power budget and run faster, achieving speedups of 1.5 to 1.7× (1.6× on average).
Yigit Demir, Nikos Hardavellas
ACM Trans. Archit. Code Optim.1
2015 Parka: Thermally Insulated Nanophotonic Interconnects
abstract
Silicon-photonics are emerging as the prime candidate technology for energy-efficient on-chip interconnects at future process nodes. However, current designs are primarily based on microrings, which are highly sensitive to temperature. As a result, current silicon-photonic interconnect designs expend a significant amount of energy heating the microrings to a designated narrow temperature range, only to have the majority of the thermal energy waste away and dissipate through the heat sink, and in the process of doing so heat up the logic layer, causing significant performance degradation to the cores and inducing thermal emergencies. We propose Parka, a nanophotonic interconnect that encases the photonic die in a thermal insulator that keeps its temperature stable with low energy expenditure, while minimizing the spatial and temporal thermal coupling between logic and silicon-photonic components. Parka reduces the microring energy by 3.8--5.4x and achieves 11--23% speedup on average (34% max) depending on the cooling solution used.
Yigit Demir, Nikos Hardavellas
NOCS1
2014 Galaxy: a high-performance energy-efficient multi-chip architecture using photonic interconnects
abstract
The scalability trends of modern semiconductor technology lead to increasingly dense multicore chips. Unfortunately, physical limitations in area, power, off-chip bandwidth, and yield constrain single-chip designs to a relatively small number of cores, beyond which scaling becomes impractical. Multi-chip designs overcome these constraints, and can reach scales impossible to realize with conventional single-chip architectures. However, to deliver commensurate performance, multi-chip architectures require a cross-chip interconnect with bandwidth, latency, and energy consumption well beyond the reach of electrical signaling. We propose Galaxy, an architecture that enables the construction of a many-core "virtual chip" by connecting multiple smaller chiplets through optical fibers. The low optical loss of fibers allows the flexible placement of chiplets, and offers simpler packaging, power, and heat requirements. At the same time, the low latency and high bandwidth density of optical signaling maintain the tight coupling of cores, allowing the virtual chip to match the performance of a single chip that is not subject to area, power, and bandwidth limitations. Our results indicate that Galaxy attains speedup of 2.2x over the best single-chip alternatives with electrical or photonic interconnects (3.4x maximum), and 2.6x smaller energy-delay product (6.8x maximum). We show that Galaxy scales to 4K cores and attains 2.5x speedup at 6x lower laser power compared to a Macrochip with silicon waveguides.
Yigit Demir, Yan Pan 0003, Seokwoo Song, Nikos Hardavellas, John Kim 0001, Gokhan Memik
ICS1
2014 EcoLaser: an adaptive laser control for energy-efficient on-chip photonic interconnects
abstract
The high-speed and low-cost modulation of light make photonic interconnects an attractive solution for the communication de-mands of manycore processors. However, the high optical loss of many nanophotonic components results in high laser power consumption, most of which is wasted during periods of system inactivity. We propose EcoLaser, an adaptive laser control mechanism that saves between 24-77% of the laser power by turning off the laser when not needed. These power savings allow the cores to exploit a higher power budget and achieve speedups of 1.1-2x.
Yigit Demir, Nikos Hardavellas
ISLPED1