Approximate communication is being seriously considered as an effective technique for
reducing power consumption and improving the communication efficiency of network-on …

Current multi-/many-core systems spend large amounts of time and power transmitting data
across on-chip interconnects. This problem is aggravated when data-intensive applications …

Current multi/many-core systems spend large amounts of time and power transmitting data
across on-chip interconnects. This problem is aggravated when data-intensive applications …

Approximate Computing is being touted as a viable solution for high-performance
computation by relaxing the accuracy constraints of applications. This trend has been …

Network-on-Chips (NoCs) are the standard on-chip communication fabrics for connecting
cores, caches, and memory controllers in multi/many-core systems. With the increase in …

For many applications showing error forgiveness, approximate computing is a new design
paradigm that trades application output accuracy for mitigating computation/communication …

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 …

The trend of unsustainable power consumption and large memory bandwidth demands in
massively parallel multicore systems, with the advent of the big data era, has brought upon …

Network-on-Chips (NoCs) have emerged as the standard on-chip communication fabrics for
multi/many core systems and system on chips. However, as the number of cores on chip …

Many applications exhibit error forgiving features. For these applications, approximate
computing provides the opportunity of accelerating the execution time or reducing power …