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Until very recently, microprocessor designs were computation-centric. On-chip communication was frequently ignored. This was because of fast, single-cycle on-chip communication. The interconnect power was also insignificant compared to the transistor power. With uniprocessor designs providing diminishing returns and the advent of chip multiprocessors (CMPs)(More)
Realizing scalable cache coherence in the many-core era comes with a whole new set of constraints and opportunities. It is widely believed that multi-hop, unordered on-chip networks would be needed in many-core chip multiprocessors (CMPs) to provide scalable on-chip communication. However, providing ordering among coherence transactions on unordered(More)
With transistor miniaturization leading to an abundance of on-chip resources and uniprocessor designs providing diminishing returns, the industry has moved beyond single-core microprocessors and embraced the many-core wave. Scalable cache coherence protocol implementations are necessary to allow fast sharing of data among various cores and drive the(More)
—The number of cores present on-chip is increasing rapidly. The on-chip network that connects these cores needs to scale efficiently. The topology of on-chip networks is an important design choice that affects how these networks scale. Most current on-chip networks use 2-D mesh topologies which do not scale due to their large diameter and energy(More)
In recent years, research and development in the field of machine learning and classification techniques have gained paramount importance. The future generation of intelligent embedded devices will obviously require such classi-fiers working on-line and performing classification tasks in a variety of fields ranging from data mining to recognition tasks in(More)
With the advent of chip multiprocessors (CMPs) in mainstream systems, the on-chip network that connects different processing cores becomes a critical part of the design. There has been significant work in the recent past on designing these networks for efficiency and scalability. However, most network design evaluations use a stand-alone network simulator(More)
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