In this paper we are concerned about executing synchronous dataflow (SDF) applications
on a multicore architecture where a core has a limited size of scratchpad memory (SPM) …

Convolutional neural networks (CNNs) have been successfully applied in artificial intelligent
systems to perform sensory processing, sequence learning, and image processing. In …

Existing primary deduplication techniques either use inline caching to exploit locality in
primary workloads or use post-processing deduplication to avoid the negative impact on I/O …

Inter-core communication introduces overheads in task schedules on Multiprocessor System-
on-Chips (MPSoCs). Inter-core communication overhead not only negatively impacts the …

Convolutional neural networks (CNNs) are widely adopted in artificial intelligent systems. In
contrast to conventional computing centric applications, the computational and memory …

Many program codes from different application domains process very large amounts of data,
making their cache memory behavior critical for high performance. Most of the existing work …

Deep convolutional neural networks have become the mainstream solution for many
artificial intelligence applications. However, they are still rarely deployed on mobile or edge …

In this paper, we focus on solving the problem of removing inter-core communication
overhead for streaming applications on chip multiprocessors. The objective is to totally …

Streaming applications, which are abundant in many disciplines such as multimedia,
networking, and signal processing, require efficient processing of a seemingly infinite …

Scratchpad memories have now emerged as an alternative to caches for energy constrained
embedded systems. However, effectively mapping data on them while considering …