This article presents a proposal for fault-tolerant task map** on many-core processors to
enhance system performance and reduce communication energy. The proposed algorithm …

Real-time Deep Neural Network (DNN) inference with low-latency requirement has become
increasingly important for numerous applications in both cloud computing (eg, Apple's Siri) …

Field programmable gate array (FPGA) has been one of the most popular platforms to
implement convolutional neural networks (CNNs) due to its high performance and cost …

Due to the exceedingly high integration density of VLSI circuits and the resulting high power
density, thermal integrity became a major challenge. One way to tackle this problem is Dark …

Dark silicon is the phenomenon that a fraction of many-core chip has to be turned off or run
in a low-power state in order to maintain the safe chip temperature. System-level thermal …

With the advancement and miniaturization of transistor technology, hundreds of cores can
be integrated on a single chip. Network-on-Chips (NoCs) are the de facto on-chip …

Abstract Network-on-Chip (NoC) has been considered as an efficient communication
infrastructure to support Multi-Processor System-on-Chip (MPSoC) design requirements for …

In the era of big data, high performance data analytics applications are frequently executed
on large-scale cluster architectures to accomplish massive data-parallel computations …

Optical networks-on-chip (ONoCs) based on wavelength division multiplexing (WDM)
technology have lower end-to-end (ETE) delay, larger bandwidth, and higher throughput …

In the dark silicon era, a fundamental problem is given a real-time computation demand,
how to determine if an on-chip multiprocessor system is able to accept this demand and to …