Prashant Chandra

dblp:271/9650 · DBLP profile ↗
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4ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · conflict

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

Computer networks · 3 · 2 since 2021Software engineering, systems software and programming languages · 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 networks
2 papers
Datacenter networks · 73% Transport protocols and congestion control · 27%
Computer architecture, parallel and distributed computing, and storage systems
3 papers
Distributed systems · 46% Cloud and datacenter computing · 32% Interconnection networks and networks-on-chip · 23%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Transport protocols and congestion control
delay-based congestion control
0.912025
Falcon: A Reliable, Low Latency Hardware Transport · SIGCOMM 2025
Datacenter networks › load balancing
multipath load balancing
0.912025
Falcon: A Reliable, Low Latency Hardware Transport · SIGCOMM 2025
Distributed systems
clock synchronization
0.412020
Sundial: Fault-tolerant Clock Synchronization for Datacenters · OSDI 2020
Distributed systems › clock synchronization
fault-tolerant clock synchronization
0.412020
Sundial: Fault-tolerant Clock Synchronization for Datacenters · OSDI 2020
Cloud and datacenter computing › multi-tenancy
multi-tenant datacenter
0.412020
1RMA: Re-envisioning Remote Memory Access for Multi-tenant Datacenters · SIGCOMM 2020
Interconnection networks and networks-on-chip
remote direct memory access
0.412020
1RMA: Re-envisioning Remote Memory Access for Multi-tenant Datacenters · SIGCOMM 2020

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

programmable engine · 0.9hardware retransmission · 0.9
YearPublicationVenuePosition
2025 Falcon: A Reliable, Low Latency Hardware Transport
abstract
Hardware transports such as RoCE deliver high performance with minimal host CPU, but are best suited to special-purpose deployments that limit their use, e.g., backend networks or Ethernet with Priority Flow Control (PFC). We introduce Falcon, the first hardware transport that supports multiple Upper Layer Protocols (ULPs) and heterogeneous application workloads in general-purpose Ethernet datacenter environments (with losses and without special switch support). Key design elements include: delay-based congestion control with multipath load balancing; a layered design with a simple request-response transaction interface for multi-ULP support; hardware-based retransmissions and error-handling for scalability; and a programmable engine for flexibility. The first Falcon hardware implementation delivers a peak performance of 200 Gbps, 120 Mops/sec, with near-optimal operation completion times that are up to 8× lower than CX-7 RoCE under network congestion, and up to 65% higher goodput under lossy conditions.
Arjun Singhvi, Nandita Dukkipati, Prashant Chandra, Hassan M. G. Wassel, Naveen Kr. Sharma, Anthony Rebello, Henry Schuh, Praveen Kumar 0003, Behnam Montazeri, Neelesh Bansod, Sarin Thomas, Inho Cho, Hyojeong Lee Seibert, Baijun Wu, Rui Yang 0034, Qianwen Yin, Srinivas Vaduvatha, Weihuang Wang, Masoud Moshref, David Wetherall, Amin Vahdat
SIGCOMM3
2022 Aquila: A unified, low-latency fabric for datacenter networks
Dan Gibson, Hema Hariharan, Eric Lance, Moray McLaren, Behnam Montazeri, Hassan M. G. Wassel, Zhehua Wu, Sunghwan Yoo, Raghuraman Balasubramanian, Prashant Chandra, Michael Cutforth, Peter Cuy, David Decotigny, Rakesh Gautam, Alex Iriza, Milo M. K. Martin, Rick Roy, Zuowei Shen, Monica Wong-Chan, Joe Zbiciak, Amin Vahdat
NSDI12
2020 Sundial: Fault-tolerant Clock Synchronization for Datacenters
Gautam Kumar 0001, Hema Hariharan, Hassan M. G. Wassel, Peter Hochschild, Dave Platt, Simon L. Sabato, Minlan Yu, Nandita Dukkipati, Prashant Chandra, Amin Vahdat
OSDI10
2020 1RMA: Re-envisioning Remote Memory Access for Multi-tenant Datacenters
abstract
Remote Direct Memory Access (RDMA) plays a key role in supporting performance-hungry datacenter applications. However, existing RDMA technologies are ill-suited to multi-tenant datacenters, where applications run at massive scales, tenants require isolation and security, and the workload mix changes over time. Our experiences seeking to operationalize RDMA at scale indicate that these ills are rooted in standard RDMA's basic design attributes: connectionorientedness and complex policies baked into hardware.
Arjun Singhvi, Aditya Akella, Dan Gibson, Thomas F. Wenisch, Monica Wong-Chan, Sean Clark 0003, Milo M. K. Martin, Moray McLaren, Prashant Chandra, Rob Cauble, Hassan M. G. Wassel, Behnam Montazeri, Simon L. Sabato, Joel Scherpelz, Amin Vahdat
SIGCOMM9