SLIIC: System-Level Intelligent Intensive Computing

摘要

Recently several architectural approaches have been explored that promise to hide memory latency for applications that include data-intensive applications while improving scalability The SLIIC project demonstrated and compared some of the advantages and disadvantages of the PIM (processor-in- memory) and stream processing approaches to hiding memory latency. The SLIIC project built board prototypes for PIM and stream processing architectures and implemented data-intensive applications in simulation and in hardware to measure the performance. Speedups of up to 54 measured in cycles and 16 measured in execution time were obtained over commercial microprocessors.