Low-latency message passing on workstation clusters using SCRAMNet

Moorthy, Vijay; Jacunski, M.G.; Pillai, M.; Ware, Peter P.; Panda, Dhabaleswar K.; Page, Thomas W.; Sadayappan, P.; Nagarajan, V.; Daniel, Jamison

doi:10.1109/ipps.1999.760450

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…DTK remote shared memory can be thought of as a software version of SCRAMNet (Moorthy, 1998) that uses IP networks. The basic idea is that an application reads and writes to a DTK remote shared memory file, and changes to the file are automatically and transparently propagated to other processes connected to the same remote shared memory file.…”

Section: Remote Shared Memorymentioning

confidence: 99%

DIVERSE: A Framework for Building Extensible and Reconfigurable Device-Independent Virtual Environments and Distributed Asynchronous Simulations

Kelso

Satterfield

Arsenault

et al. 2003

Presence: Teleoperators & Virtual Environments

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We present DIVERSE, a highly modular collection of complimentary software packages designed to facilitate the creation of device-independent virtual environments and distributed asynchronous simulations. DIVERSE is free/open source software, containing both end-user programs and Cϩϩ application programming interfaces (APIs).DPF is the DIVERSE graphics interface to OpenGL Performer. A program using the DPF API can run without modification on platforms ranging from fully immersive systems such as CAVEs to generic desktop workstations.The DIVERSE toolkit (DTK) contains all the nongraphical components of DIVERSE, such as networking utilities, hardware device access, and navigational techniques. It introduces a software implementation of networks of replicated noncoherent shared memory. It also introduces a method that seamlessly extends hardware drivers into interprocess and Internet hardware services.We will describe the design of DIVERSE and present a specific example of how it is being used to aid researchers.

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Section: Remote Shared Memorymentioning

confidence: 99%