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Profile
David Lowenthal
Professor, Computer Science | Member of the Graduate Faculty
Computer Science
Full Page
Overview
Research
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Collaboration
(7)
Jesse Little
Mutual work: 1 Proposal
Collaboration Details
Hermann Fasel
Mutual work: 1 Proposal
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Beichuan Zhang
Mutual work: 1 Proposal
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Samy Missoum
Mutual work: 1 Proposal
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Christian Collberg
Mutual work: 1 Proposal
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Grants
(16)
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Publications
(63)
Recent
Jigsaw: A High-Utilization, Interference-Free Job Scheduler for Fat-Tree Clusters
2021
job scheduler,
cluster scheduling,
interference-free scheduling,
high-utilization scheduling,
fat-tree networks
The Case of Performance Variability on Dragonfly-based Systems
2020
performance variability,
dragonfly-based systems,
computer architecture,
fault tolerance,
network interconnects
Mitigating Inter-Job Interference via Process-Level Quality-of-Service
2019
resource allocation,
job scheduling,
quality of service,
interference mitigation,
process-level control
Mitigating Inter-Job Interference Using Adaptive Flow-Aware Routing
2018
interference,
adaptive routing,
flow control,
mitigation,
job scheduling
A Study of Network Quality of Service in Many-Core MPI Applications
2018
network quality,
many-core,
mpi applications,
network performance
I/O Aware Power Shifting
2016
power management,
i/o optimization,
energy efficiency,
hardware design,
data storage
Economic Viability of Hardware Overprovisioning in Power-Constrained High Performance Computing
2016
economic viability,
hardware overprovisioning,
power-constrained,
high performance computing,
energy efficiency
Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing
2015
manufacturing variability,
power-constrained supercomputing,
impact mitigation,
analyzing,
supercomputing
Practical Resource Management in Power-Constrained, High Performance Computing
2015
resource management,
power efficiency,
high performance computing,
practical implementation,
constraint optimization
Finding the Limits of Power-Constrained Application Performance
2015
power consumption,
application performance,
performance optimization,
power management,
load balancing
