STTR Phase I: Visualization API Enablers for a High-End Fine-Grained Parallel Processor

这个小型企业技术转移阶段1项目寻求推进一个主要应用领域的最新专利技术，显式多线程（XMT），用于构建和使用计算机。在20世纪80年代和90年代，许多算法研究者开发了一种计算模型，并行随机存取模型（PRAM）。从这个起点开始，构思和开发了一个高度并行的XMT处理器体系结构，其性能目标是缩短单个任务完成时间。XMT将快速驾驶比喻为快速的单任务计算，将漏气轮胎比喻为缓存丢失，它不仅寻求制造可以非常快速驾驶的汽车；在继续高速行驶的同时，这些汽车还可以安全地更换轮胎。XMT技术将为程序员提供并行思考和编写代码的自由和能力。并行编程模型的简单性为应用程序编程人员提供了高生产率。在给定硬件数量的情况下，预计通用单任务完成时间将加快几个数量级。

This Small Business Technology Transfer Phase 1 project seeks to advance a major application domain for a recent patented technology, Explicit-Multi-Threading (XMT), for building and using computers. Numerous algorithm researchers have developed a computational model, the Parallel Random Access Model (PRAM), during the 1980s and 1990s. From that starting point, a highly parallel XMT processor architecture whose performance objective is reducing single task completion time has been conceived and developed. Using fast driving as a metaphor for fast single task computing, and a flat tire for cache miss, XMT seeks not only to build cars that can be driven very fast; the cars will also allow safely changing a flat tire while the fast driving continues.The XMT technology will give programmers the freedom and power to think and code in parallel. The simplicity of the parallel programming model enables high productivity for the application programmer. Orders of magnitude faster general purpose single task completion time for a given amount of hardware are expected.