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Dive into the research topics where Ravi Kumar Arimilli is active.

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Featured researches published by Ravi Kumar Arimilli.


high performance interconnects | 2010

The PERCS High-Performance Interconnect

L. Baba Arimilli; Ravi Kumar Arimilli; Vicente Enrique Chung; Scott Douglas Clark; Wolfgang E. Denzel; Ben C. Drerup; Torsten Hoefler; Jody B. Joyner; Jerry Don Lewis; Jian Li; Nan Ni; Ramakrishnan Rajamony

The PERCS system was designed by IBM in response to a DARPA challenge that called for a high-productivity high-performance computing system. A major innovation in the PERCS design is the network that is built using Hub chips that are integrated into the compute nodes. Each Hub chip is about 580 mm


Archive | 1994

Queued arbitration mechanism for data processing system

Ravi Kumar Arimilli; John Michael Kaiser

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Archive | 1997

Demand-based larx-reserve protocol for SMP system buses

Ravi Kumar Arimilli; John Steven Dodson; Jerry Don Lewis; Derek Edward Williams

in size, % uses 45 nm IBM CMOS 12S0 SOI technology with 13 levels of metal, has over 3700 signal I/Os, and is packaged in a module that also contains LGA-attached optical electronic devices. The Hub module implements five types of high-bandwidth interconnects with multiple links that are fully-connected with a high-performance internal crossbar switch. These links provide over 9 Tbits/second of raw bandwidth and are used to construct a two-level direct-connect topology spanning up to tens of thousands of \PS{} chips with high bisection bandwidth and low latency. The Blue Waters System, which is being constructed at NCSA, is an exemplar large-scale PERCS installation. Blue Waters is expected to deliver sustained Pet scale performance over a wide range of applications. The Hub chip supports several high-performance computing protocols (e.g., MPI, RDMA, IP) and also provides a non-coherent system-wide global address space. Collective communication operations such as barriers, reductions, and multi-cast are supported directly in hardware. Multiple routing modes including deterministic as well as hardware-directed random routing are also supported. Finally, the Hub module is capable of operating in the presence of many types of hardware faults and gracefully degrades performance in the presence of lane failures.


Archive | 2001

High performance symmetric multiprocessing systems via super-coherent data mechanisms

Ravi Kumar Arimilli; Guy Lynn Guthrie; William J. Starke; Derek Edward Williams


Archive | 2001

Two-stage request protocol for accessing remote memory data in a NUMA data processing system

Ravi Kumar Arimilli; John Steven Dodson; James Stephen Fields


Archive | 2000

Multi-level multiprocessor speculation mechanism

Guy Lynn Guthrie; Ravi Kumar Arimilli; John Steven Dodson; Derek Edward Williams


Archive | 1999

Multiprocessor system in which a cache serving as a highest point of coherency is indicated by a snoop response

Ravi Kumar Arimilli; Leo James Clark; James Stephen Fields; Guy Lynn Guthrie


Archive | 1994

Coherency and synchronization mechanisms for I/O channel controllers in a data processing system

Ravi Kumar Arimilli; John Steven Dodson; Guy Lynn Guthrie; Jerry Don Lewis


Archive | 2003

Multiprocessor system supporting multiple outstanding TLBI operations per partition

Ravi Kumar Arimilli; Guy Lynn Guthrie; Kirk Samuel Livingston


Archive | 1999

Multiprocessor system bus protocol with group addresses, responses, and priorities

Ravi Kumar Arimilli; James Stephen Fields; Guy Lynn Guthrie; Jody B. Joyner; Jerry Don Lewis

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