K
Kevin J. Barker
Researcher at Pacific Northwest National Laboratory
Publications - 89
Citations - 1841
Kevin J. Barker is an academic researcher from Pacific Northwest National Laboratory. The author has contributed to research in topics: Computer science & Supercomputer. The author has an hindex of 20, co-authored 81 publications receiving 1522 citations. Previous affiliations of Kevin J. Barker include College of William & Mary & University of Notre Dame.
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Proceedings ArticleDOI
Entering the petaflop era: the architecture and performance of Roadrunner
Kevin J. Barker,Kei Davis,Adolfy Hoisie,Darren J. Kerbyson,Michael Lang,Scott Pakin,José Carlos Sancho +6 more
TL;DR: A detailed architectural description of Roadrunner and a detailed performance analysis of the system are presented and a case study of optimizing the MPI-based application Sweep3D to exploit Roadrunner's hybrid architecture is also included.
Proceedings ArticleDOI
On the Feasibility of Optical Circuit Switching for High Performance Computing Systems
Kevin J. Barker,Alan F. Benner,Ray Hoare,Adolfy Hoisie,Alex K. Jones,Darren K. Kerbyson,Dan Li,Rami Melhem,Ramakrishnan Rajamony,Eugen Schenfeld,Shuyi Shao,Craig B. Stunkel,Peter A. Walker +12 more
TL;DR: A potentially cheaper and more power-efficient approach to building high-performance interconnects by proposing a two-network interconnect: An Optical Circuit Switching (OCS) network handling long-lived bulk data transfers, using optical switches; and a secondary lower-bandwidth Electronic Packet switching network.
Journal ArticleDOI
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
TL;DR: A thorough evaluation on five latest types of modern GPU interconnects from six high-end servers and HPC platforms shows that, for an application running in a multi-GPU node, choosing the right GPU combination can impose considerable impact on GPU communication efficiency, as well as the application's overall performance.
Journal ArticleDOI
A load balancing framework for adaptive and asynchronous applications
TL;DR: In this paper, a load balancing framework and runtime software system for supporting the development of adaptive applications on distributed-memory parallel computers is described, which can be used at the discretion of the application developer in order to simplify program development and to eliminate complex bookkeeping associated with mobile data objects.
Journal ArticleDOI
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
TL;DR: In this article, the authors conduct a thorough evaluation on five latest types of modern GPU interconnects: PCIe, NVLink-V1, NVlink-V2, NVSwitch, and NVLinkSLI.