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Payman Samadi

dblp:89/2852 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0001-9221-6471ORCID · corroborated

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

Systems, architecture and hardware · 1Computer networks · 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 · 68% High-performance computing · 26% Performance modeling and evaluation · 5%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip
optical interconnection networks
0.422016
Flexfly: enabling a reconfigurable dragonfly through silicon photonics · SC 2016
Accelerating incast and multicast traffic delivery for data-intensive applications using physical layer optics · SIGCOMM 2014
Interconnection networks and networks-on-chip › network topology › low-diameter topology
dragonfly network
0.212016
Flexfly: enabling a reconfigurable dragonfly through silicon photonics · SC 2016
Interconnection networks and networks-on-chip › network topology
reconfigurable topology
0.212016
Flexfly: enabling a reconfigurable dragonfly through silicon photonics · SC 2016
Performance modeling and evaluation
workload characterization
0.112016
Flexfly: enabling a reconfigurable dragonfly through silicon photonics · SC 2016
High-performance computing
cluster computing
0.112014
Accelerating incast and multicast traffic delivery for data-intensive applications using physical layer optics · SIGCOMM 2014
High-performance computing › data-intensive computing
data-intensive applications
0.112014
Accelerating incast and multicast traffic delivery for data-intensive applications using physical layer optics · SIGCOMM 2014

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

simulation · 0.2adaptive routing · 0.2
YearPublicationVenuePosition
2016 Flexfly: enabling a reconfigurable dragonfly through silicon photonics
abstract
The Dragonfly topology provides low-diameter connectivity for high-performance computing with all-to-all global links at the inter-group level. Our traffic matrix characterization of various scientific applications shows consistent mismatch between the imbalanced group-to-group traffic and the uniform global bandwidth allocation of Dragonfly. Though adaptive routing has been proposed to utilize bandwidth of non-minimal paths, increased hops and cross-group interference lower efficiency. This work presents a photonic architecture, Flexfly, which “trades” global links among groups using low-radix Silicon photonic switches. With transparent optical switching, Flexfly reconfigures the inter-group topology based on traffic pattern, stealing additional direct bandwidth for communication-intensive group pairs. Simulations with applications such as GTC, Nekbone and LULESH show up to 1.8x speedup over Dragonfly paired with UGAL routing, along with halved hop count and latency for cross-group messages. We built a 32-node Flexfly prototype using a Silicon photonic switch connecting four groups and demonstrated 820 ns interconnect reconfiguration time.
Payman Samadi, Sébastien Rumley, Christine P. Chen, Yiwen Shen 0002, Meisam Bahadori, Keren Bergman, Jeremiah J. Wilke
SC2
2014 Accelerating incast and multicast traffic delivery for data-intensive applications using physical layer optics
abstract
We present a control plane architecture to accelerate multicast and incast traffic delivery for data-intensive applications in cluster-computing interconnection networks. The architecture is experimentally examined by enabling physical layer optical multicasting on-demand for the application layer to achieve non-blocking performance.
Payman Samadi, Varun Gupta 0002, Berk Birand, Howard Wang, Gil Zussman, Keren Bergman
SIGCOMM1