The Epsilon-2 multiprocessor system

Grafe, V.G.; Hoch, James E.

doi:10.1016/0743-7315(90)90032-k

Cited by 29 publications

(6 citation statements)

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“…These include Monsoon, Epsilon-2, EM-4, P-RISC, and TAM. Table 2 summarizes the architectural characteristics of these designs (18)(19)(20)(21)(22)(23).…”

Section: Dataflow Architectures Of the 1980s And The 1990smentioning

confidence: 99%

Dataflow Computers: Their History and Future

Hurson

Kavi

2007

Wiley Encyclopedia of Computer Science and Engineering

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The dataflow model of computation offers an attractive alternative to control‐flow in extracting parallelism from programs. The execution of a dataflow instruction is based on the availability of its operand(s); hence, the synchronization of parallel activities is implicit in the dataflow model. Instructions in dataflow model do not impose any constraints on sequencing except for the data dependencies in the program. The elegant representation of concurrency in dataflow computation led to considerable interest in dataflow modes over the past three decades. These efforts have led to successively more elaborate architechtural implementations of the model. However, studies form past projects have revealed a number of inefficiencies in dataflow computing. Recent advances that may address these deficiencies have generated a renewed interest in dataflow. In this article we will survey the various issues and developments in dataflow computing.

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“…These include Monsoon, Epsilon-2, EM-4, P-RISC, and TAM. Table 2 summarizes the architectural characteristics of these designs (18)(19)(20)(21)(22)(23).…”

Section: Dataflow Architectures Of the 1980s And The 1990smentioning

confidence: 99%

Dataflow Computers: Their History and Future

Hurson

Kavi

2007

Wiley Encyclopedia of Computer Science and Engineering

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“…A dataflow graph simulator (ParPlum) was developed to explore functional parallelism in a UNIX local area network (LAN) [7]. This LAN system is a representative distributed memory system having expensive data communication when compared to systems such as Monsoon [ 17], Epsilon2 [ 18], or P-RISC [ 19] that were designed specifically for Dataflow computing.…”

Section: List Of Tablesmentioning

confidence: 99%

Data Allocation for Distributed Programs

Setiowijoso¹

2000

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This thesis shows that both data and code must be efficiently distributed to achieve good performance in a distributed system. Most previous research has either tried to distribute code structures to improve parallelism or to distribute data to reduce communication costs. Code distribution (exploiting functional parallelism) is an effort to distribute or to duplicate function codes to optimize parallel performance. On the other hand, data distribution tries to place data structures as close as possible to the function codes that use it, so that communication cost can be reduced.

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“…Other projects like at MIT [10], ETL[ll], and others [5] took the similar approach, and they shared the same problem. Our FMD approach is an attempt to use a off-the-shelf microprocessor for developing the fine-grain multi-threading architecture.…”

Section: Related Workmentioning

confidence: 99%

Co-processor system design for fine-grain message handling in KUMP/D

Tomiyasu

Kusakabe

Kawano

et al. 1997

Euro-Par'97 Parallel Processing

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A b s t r a c t . In parallel processing, fine-grain parallel processing is quite effective solution for latency problem caused by remote memory accesses and remote procedure calls. We have proposed a processor architecture, called Datarol-II, that promotes efficient fine-grain multi-thread execution by performing fast context switching among fine-grain concurrent processes. We are now building a prototype multi-media machine KUMP/D (Kyushu University Multi-media Processor on Datarol-II) on the basis of the fine-grain multi-threading architecture. In the design of the KUMP/D, we used the commercial microprocessor for its processing element, and designed a co-processor, called FMP(Fine-grain Message Processor), for fine-grain message handling and communication control. In this paper, we show the KUMP/D processor design and its performance evaluation. * Currently, he is at NTT Software Laboratories.

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The Epsilon-2 multiprocessor system

Cited by 29 publications

References 1 publication

Dataflow Computers: Their History and Future

Dataflow Computers: Their History and Future

Data Allocation for Distributed Programs

Co-processor system design for fine-grain message handling in KUMP/D

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