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Gregory Kerr

dblp:77/9668 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Systems, architecture and hardware · 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 architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 62% Parallel and multicore computing · 38%

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

TopicWeightPapersLastEvidence papers
Distributed systems › fault tolerance
checkpointing
0.212014
Transparent checkpoint-restart over infiniband · HPDC 2014
Parallel and multicore computing
MPI
0.112014
Transparent checkpoint-restart over infiniband · HPDC 2014
Parallel and multicore computing › parallel computing › parallel programming languages
unified parallel c
0.112014
Transparent checkpoint-restart over infiniband · HPDC 2014

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

system-initiated checkpointing · 0.2kernel module avoidance · 0.2
YearPublicationVenuePosition
2014 Transparent checkpoint-restart over infiniband
abstract
Transparently saving the state of the InfiniBand network as part of distributed checkpointing has been a long-standing challenge for researchers. The lack of a solution has forced typical MPI implementations to include custom checkpoint-restart services that "tear down" the network, checkpoint each node in isolation, and then re-connect the network again. This work presents the first example of transparent, system-initiated checkpoint-restart that directly supports InfiniBand. The new approach simplifies current practice by avoiding the need for a privileged kernel module. The generality of this approach is demonstrated by applying it both to MPI and to Berkeley UPC (Unified Parallel C), in its native mode (without MPI). Scalability is shown by checkpointing 2,048 MPI processes across 128 nodes (with 16 cores per node). The run-time overhead varies between 0.8% and 1.7%. While checkpoint times dominate, the network-only portion of the implementation is shown to require less than 100 milliseconds (not including the time to locally write application memory to stable storage).
Jiajun Cao, Gregory Kerr, Kapil Arya, Gene Cooperman
HPDC2