Many companies are deploying services, either for consumers or industry, which are largely
based on machine-learning algorithms for sophisticated processing of large amounts of …

Processing-In-Memory (PIM) is an effective technique that reduces data movements by
integrating processing units within memory. The recent advance of “big data” and 3D …

Processing-In-Memory (PIM) architectures based on recent technology advances (eg,
Hybrid Memory Cube) demonstrate great potential for graph processing. However, existing …

Many companies are deploying services largely based on machine-learning algorithms for
sophisticated processing of large amounts of data, either for consumers or industry. The …

This paper presents a discrete particle swarm optimization (PSO)-based strategy to map
applications on both 2-D and 3-D mesh-connected Networks-on-Chip. The basic PSO …

Faster and cheaper computers have been constantly demanding technological and
architectural improvements. However, current technology is suffering from three technology …

Resistive random access memory (ReRAM) addresses the high memory bandwidth
requirement challenge of graph analytics by integrating the computing logic in the memory …

Shows how the separable two-dimensional wavelet representation leads naturally to an
efficient multiresolution tomographic reconstruction algorithm. This algorithm is similar to the …

A 16× 16 mesh network-on-chip (NoC) is fabricated in 22 nm tri-gate CMOS for high-
throughput, energy-efficient on-chip interconnect in multi-core processors and systems-on …

With increasing core counts in Chip Multi-Processor (CMP) designs, the size of the on-chip
communication fabric and shared Last-Level Caches (LLC), which we term uncore here, is …