The network interfaces of existing multicomputers require a significant amount of software overhead to provide protection and to implement message passing protocols.This paper describes the design of a low-latency, high-bandwidth, virtual memory-mapped network interface for the SHRIMP multicomputer project at Princeton University. Without sacrificing protection, the network interface achieves low latency by using virtual memory mapping and write-latency hiding techniques, and obtains high bandwidth by providing a user-level block data transfer mechanism. We have implemented several message passing primitives in an experimental environment, demonstrating that our approach can reduce the message passing overhead to a few user-level instructions.
The network interfaces of existing multicomputers require a significant amount of software overhead to provide protection and to implement message passing protocols. This paper describes the design of a low-latency, high-bandwidth, virtual memory-mapped network interface for the SHRIMP multicomputer project at Princeton University. Without sacrificing protection, the network interface achieves low latency by using virtual memory mapping and write-latency hiding techniques, and obtains high bandwidth by providing a user-level block data transfer mechanism. We have implemented several message passing primitives in an experimental environment, demonstrating that our approach can reduce the message passing overhead to a few user-level instructions.
The SHRIMP cluster-computing system has progressed to a point of relative maturity; a variety of applications are running on a 16-node system. We have enough experience to understand what we did right and wrong in designing and building the system. In this paper we discuss some of the lessons we learned about computer architecture, and about the challenges involved in building a significant working system in an academic research environment. We evaluate significant design choices by modifying the network interface firmware and the system software in order to empirically compare our design to other approaches.
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