The development o f T era's MTA system was unusual. It respected the need for fast hardware and large shared memory , facilitating execution of the most demanding parallel application programs. But at the same time, it met the need for a clean mac hine model enabling calculated compiler optimizations and easy programming and the need for no vel architectural features necessary to support fast parallel system software. From its inception, system and application needs have molded the MTA architecture. The result is a system that o ers high performance and ease of programming b y virtue not only of fast physical hardware and at shared memory , but also of the streamlined software systems that well utilize the features of the architecture intended to support them.

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Experience from over five years of building nonshared memory parallel programs using the Poker Parallel Programming Environment has positioned us to evaluate our approach to defining and developing parallel programs. This paper presents the more significant results of our evaluation of Poker. The evaluation is driving our next effort in parallel programming environment; many of the results should be sufficiently general to apply to other related efforts.

Experience from over five years of building nonshared memory parallel programs using the Poker Parallel Programming Environment has positioned us to evaluate our approach to defining and developing parallel programs. This paper presents the more significant results of our evaluation of Poker. The evaluation is driving our next effort in parallel programming environment; many of the results should be sufficiently general to apply to other related efforts.