Demo Data from VLDB 2026 / reviewers in the wild / expert
Payman Samadi
dblp:89/2852
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interconnection networks and networks-on-chip
optical interconnection networks |
0.4 | 2 | 2016 | 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 |
0.2 | 1 | 2016 | Flexfly: enabling a reconfigurable dragonfly through silicon photonics · SC 2016 |
Interconnection networks and networks-on-chip › network topology
reconfigurable topology |
0.2 | 1 | 2016 | Flexfly: enabling a reconfigurable dragonfly through silicon photonics · SC 2016 |
Performance modeling and evaluation
workload characterization |
0.1 | 1 | 2016 | Flexfly: enabling a reconfigurable dragonfly through silicon photonics · SC 2016 |
High-performance computing
cluster computing |
0.1 | 1 | 2014 | 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 |
0.1 | 1 | 2014 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Flexfly: enabling a reconfigurable dragonfly through silicon photonicsabstractThe 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 |
SC | 2 |
| 2014 | Accelerating incast and multicast traffic delivery for data-intensive applications using physical layer opticsabstractWe 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 |
SIGCOMM | 1 |