Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where James A. Kunz is active.

Publication


Featured researches published by James A. Kunz.


high performance interconnects | 2015

Intel® Omni-path Architecture: Enabling Scalable, High Performance Fabrics

Mark S. Birrittella; Mark Debbage; Ram Huggahalli; James A. Kunz; Tom Lovett; Todd M. Rimmer; Keith D. Underwood; Robert C. Zak

The Intel® Omni-Path Architecture (Intel® OPA) is designed to enable a broad class of computations requiring scalable, tightly coupled CPU, memory, and storage resources. Integration between devices in the Intel® OPA family and Intel® CPUs enable improvements in system level packaging and network efficiency. When coupled with the new user-focused open standard APIs developed by the OpenFabrics Alliance (OFA) Open Fabrics Initiative (OFI), host fabric interfaces (HFIs) and switches in the Intel® OPA family are optimized to provide low latency, high bandwidth, and high message rate. Intel® OPA provides important innovations to enable a multi-generation, scalable fabric, including: link layer reliability, extended fabric addressing, and optimizations for high core count CPUs. Datacenter needs are also a core focus for Intel® OPA, which includes: link level traffic flow optimization to minimize datacenter jitter for high priority packets, robust partitioning support, quality of service support, and a centralized fabric management system. Basic performance metrics from first generation HFI and switch implementations demonstrate the potential of the new fabric architecture.


IEEE Micro | 2016

Enabling Scalable High-Performance Systems with the Intel Omni-Path Architecture

Mark S. Birrittella; Mark Debbage; Ram Huggahalli; James A. Kunz; Tom Lovett; Todd M. Rimmer; Keith D. Underwood; Robert C. Zak

The Intel Omni-Path Architecture (Intel OPA) is designed to enable a broad class of computations requiring scalable, tightly coupled CPU, memory, and storage resources. Integration between the Intel OPA family and Intel CPUs enable improvements in system-level packaging and network efficiency. When coupled with the new open standard APIs developed by the OpenFabrics Alliance (OFA) Open Fabrics Initiative (OFI), the Intel OPA family is optimized to provide low latency, high bandwidth, and a high message rate. Intel OPA enables a multigeneration, scalable fabric through innovations including link layer reliability, extended fabric addressing, and optimizations for high-core-count CPUs. Intel OPA also provides optimizations to address datacenter needs, including link-level traffic flow optimization, to minimize jitter for high-priority packets, partitioning support, quality-of-service support, and a centralized fabric management system. Basic performance metrics from first-generation host fabric interface and switch implementations demonstrate the new fabric architectures potential.


Archive | 2009

Method and system for network switch element

James A. Kunz; Frank R. Dropps; Edward C. Ross; Mark A. Owen; Craig M. Verba


Archive | 2013

Method and system for reliable multicast

Ian G. Colloff; Lloyd Dickman; Thomas R. Prohofsky; James A. Kunz


Archive | 2009

Method and system for transmitting flow control information

James A. Kunz; Ian G. Colloff; William J. Gustafson


Archive | 2007

Method and system for load balancing in InfiniBand switches and networks

Frank R. Dropps; Ian G. Colloff; James A. Kunz; Ernest G. Kohlwey


Archive | 2009

Method and system for tag arbitration in switches

James A. Kunz; Mark A. Owen


Archive | 2014

Hierarchical/lossless packet preemption to reduce latency jitter in flow-controlled packet-based networks

Thomas D. Lovett; Albert S. Cheng; Mark S. Birrittella; James A. Kunz; Todd M. Rimmer


Archive | 2014

SYSTEM, METHOD AND APPARATUS FOR IMPROVING THE PERFORMANCE OF COLLECTIVE OPERATIONS IN HIGH PERFORMANCE COMPUTING

Michael Heinz; Todd M. Rimmer; James A. Kunz; Mark Debbage


Archive | 2009

Method and system for taking a network port offline

James A. Kunz; Craig M. Verba; Thomas R. Prohofsky

Researchain Logo
Decentralizing Knowledge