Design and performance evaluation of a multithreaded architecture

Multithreaded architectures have the ability to tolerate long memory latencies and unpredictable synchronization delays. We propose a multithreaded architecture that is capable of exploiting both coarse-grain parallelism, and fine-grain instruction level parallelism in a program. Instruction-level parallelism is exploited by grouping instructions from a number of active threads at runtime. The architecture supports multiple resident activations to improve the extent of locality exploited. Further, a distributed data structure cache organization is proposed to reduce both the network: traffic and the latency in accessing remote locations. Initial performance evaluation using discrete-event simulation indicates that the architecture is capable of achieving very high processor throughput. The introduction of the data structure cache reduces the network latency significantly. The impact of various cache organizations on the performance of the architecture is also discussed in this paper