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Based on current trends, multicore processors will have 1000 cores or more within the next decade. However, their promise of increased performance will only be realized if their inherent scaling and programming challenges are overcome. Fortunately, recent advances in nanophotonic device manufacturing are making CMOS-integrated optics a reality-interconnect technology which can provide significantly more bandwidth at lower power than conventional electrical signaling. Optical interconnect has the potential to enable massive scaling and preserve familiar programming models in future multicore chips. This paper presents ATAC, a new multicore architecture with integrated optics, and ACKwise, a novel cache coherence protocol designed to leverage ATAC's strengths. ATAC uses nanophotonic technology to implement a fast, efficient global broadcast network which helps address a number of the challenges that future multicores will face. ACKwise is a new directory-based cache coherence protocol that uses this broadcast mechanism to provide high performance and scalability. Based on 64-core and 1024-core simulations with Splash2, Parsec, and synthetic benchmarks, we show that ATAC with ACKwise out-performs a chip with conventional interconnect and cache coherence protocols. On 1024-core evaluations, ACKwise protocol on ATAC outperforms the best conventional cache coherence protocol on an electrical mesh network by 2.5x with Splash2 benchmarks and by 61% with synthetic benchmarks., National Science Foundation (U.S.) (Grant No. 0811724)

Given the current trends in multicore scaling, chips with 1000 cores may exist within the next 5 to 10 years. However, their promise of increased performance will only be reached if their inherent scaling and programming challenges are overcome. Meanwhile, recent advances in nanophotonic device manufacturing are making CMOS-integrated optics a reality-interconnect technology which can provide more bandwidth at lower power than conventional electronics. Perhaps more importantly, optical interconnect also has the potential to enable new, easy-to-use programming models enabled by its inexpensive broadcast mechanism. This paper introduces ATAC, a new manycore architecture that capitalizes on the recent advances in optics to address a number of challenges that future manycore designs will face. The new constraints and opportunities of on-chip optical interconnect are presented and explored in the design of ATAC. Furthermore, this paper discusses ATAC's programming models, and introduces Consumer Tagging, a novel programming model that leverages ATAC's strengths to provide high performance and scalability.

This paper evaluates the Raw microprocessor. Raw addresses thechallenge of building a general-purpose architecture that performswell on a larger class of stream and embedded computing applicationsthan existing microprocessors, while still running existingILP-based sequential programs with reasonable performance in theface of increasing wire delays. Raw approaches this challenge byimplementing plenty of on-chip resources - including logic, wires,and pins - in a tiled arrangement, and exposing them through a newISA, so that the software can take advantage of these resources forparallel applications. Raw supports both ILP and streams by routingoperands between architecturally-exposed functional units overa point-to-point scalar operand network. This network offers lowlatency for scalar data transport. Raw manages the effect of wiredelays by exposing the interconnect and using software to orchestrateboth scalar and stream data transport.We have implemented a prototype Raw microprocessor in IBM's180 nm, 6-layer copper, CMOS 7SF standard-cell ASIC process. Wehave also implemented ILP and stream compilers. Our evaluationattempts to determine the extent to which Raw succeeds in meetingits goal of serving as a more versatile, general-purpose processor.Central to achieving this goal is Raw's ability to exploit all formsof parallelism, including ILP, DLP, TLP, and Stream parallelism.Specifically, we evaluate the performance of Raw on a diverse setof codes including traditional sequential programs, streaming applications,server workloads and bit-level embedded computation.Our experimental methodology makes use of a cycle-accurate simulatorvalidated against our real hardware. Compared to a 180 nmPentium-III, using commodity PC memory system components, Rawperforms within a factor of 2x for sequential applications with a verylow degree of ILP, about 2x to 9x better for higher levels of ILP, and10x-100x better when highly parallel applications are coded in astream language or optimized by hand. The paper also proposes anew versatility metric and uses it to discuss the generality of Raw.