activity
20072026
most citedRuntime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems

42 citations · 202 across the 30 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.DC2020

Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs

Sumit K. Mandal, Umit Y. Ogras, Janardhan Rao Doppa +3

Dynamic resource management has become one of the major areas of research in modern computer and communication system design due to lower power consumption and higher performance d…

cs.AR2020★ 42 cited

Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems

Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy +4

Domain-specific systems-on-chip, a class of heterogeneous many-core systems, are recognized as a key approach to narrow down the performance and energy-efficiency gap between custo…

cs.PF2020

Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic

Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky +2

Networks-on-Chip (NoCs) used in commercial many-core processors typically incorporate priority arbitration. Moreover, they experience bursty traffic due to application workloads. H…

cs.DC2020

User-Space Emulation Framework for Domain-Specific SoC Design

Joshua Mack, Nirmal Kumbhare, Anish NK +2

In this work, we propose a portable, Linux-based emulation framework to provide an ecosystem for hardware-software co-design of Domain-specific SoCs (DSSoCs) and enable their rapid…

eess.SY2020★ 12 cited

An Online Learning Methodology for Performance Modeling of Graphics Processors

Ujjwal Gupta, Manoj Babu, Raid Ayoub +4

Approximately 18 percent of the 3.2 million smartphone applications rely on integrated graphics processing units (GPUs) to achieve competitive performance. Graphics performance, ty…

eess.SY2020★ 11 cited

Analysis and Control of Power-Temperature Dynamics in Heterogeneous Multiprocessors

Ganapati Bhat, Suat Gumussoy, Umit Y. Ogras

Virtually all electronic systems try to optimize a fundamental trade-off between higher performance and lower power consumption. The latter becomes critical in mobile computing sys…