Abstract β-Thalassemia is one of the dangerous causes of the high mortality rate in the
Mediterranean countries. Substantial resources are required to save a β-Thalassemia …

Federated learning has gained significant attention as a distributed machine learning
paradigm, particularly due to its ability to preserve privacy by kee** data on IoT devices …

Dynamic Graph Neural Network (DGNN) has recently attracted a significant amount of
research attention from various domains, because most real-world graphs are inherently …

Dennard scaling has come to an end. General-purpose architecture now can hardly have
major improvements in power efficiency. Therefore, recently researchers have been actively …

Recent developments in architecture research warrant the need for efficient host cores to
interact and manage multiple accelerators in a system-on-chip design. Existing designs …

Hardware accelerators are an active field of research in computer architecture as one
solution to overcome hurdles such as dark silicon. A host processor interfaces with an …

Diffusion models achieve superior performance in image generation tasks. However, it
incurs significant computation overheads due to its iterative structure. To address these …

Traditionally, computer architecture has been dominated by overly complex instruction sets
that created a” solution” to every problem by adding another instruction. If these complex …

Abstract The Reduced Instruction Set Computer (RISC)-V architecture, celebrated for its
opensource flexibility and modular design, is a cornerstone for modern computing …

This thesis presents the RTL implementation and evaluation of a non-blocking L2 victim
cache for the open-source HammerBlade manycore architecture. The primary objective of …