Vector Processing in NUMA Systems

Over the last decade, applications like self-driving, image recognition and speech processing are having more and more impact on the society, all these applications are based on machine learning, and machine learning is all about metrics and vectors. For that reason, vector processors are getting attraction again.<br/><br/>Most of the previous...

Streaming Integer Extensions for Snitch

The prosperity of the Internet-of-Things (IoT) imposes increasing demand on endpoint microcontroller-based devices' performance and energy efficiency. The MCUs are demanded to process the raw data acquired from the sensors with the integer-based workload, such as digital signal processing (DSP) algorithms and quantized neural network (QNN)...

Optimizing Memory Mapping for Dataflow Inference Accelerators: Efficient Memory Utilization on FPGAs

Convolutional Neural Network (CNN) inference has gained a significant amount of traction for performing tasks like speech recognition and image classification. To improve the accuracy with which these tasks can be performed, CNNs are typically designed to be deep, encompassing a large number of neural network layers. As a result, the...

Arrow Prefetching: Prefetching Techniques for High Performance Big Data Processors using the Apache Arrow Data Format

As the digitisation of the world progresses at an accelerating pace, an overwhelming quantity of data from a variety of sources, of different types, organised in a multitude of forms or not at all, are subjected into diverse analytic processes for specific kinds of value to be extracted out of them. The aggregation of these analytic processes...

CC-Spin: A Micro-architecture design for scalable control of Spin-Qubit Quantum Processor

Quantum Computing is an emerging field of technology with the promise that engineered quantum systems can address hard problems such as, problems with exponential compute complexity in Chemistry, Genomics, Optimization and many more applications. Quantum Computer Architecture is an area of research targeted for the NISQ-era quantum computing and...

QuTech Central Controller: A Quantum Control Architecture for a Surface-17 Logical Qubit

The goal of this thesis is the design and development of the QuTech Central Controller, a system conceived to serve as the hardware/software interface of a quantum computer. This system represents an evolution of the QuMA microarchitecture to control a Surface-17 superconducting quantum processor, even though several architectural mechanisms are...

Porting Linux to the rVEX reconfigurable VLIW softcore

This thesis describes the design and implementation of an FPGA-based hardware platform based on the rVEX VLIW softcore and the adaption of a Linux 2.0 no_mmu kernel to run on that platform. The rVEX is a runtime reconfigurable VLIW softcore processor. It supports various configurations that allow programs to run faster or more efficient. The...

An Adaptive Defect-Tolerant Multiprocessor Array Architecture

Recent trends in transistor technology have dictated the constant reduction of device size. One negative effect stemming from the reduction in size and increased complexity is reduced reliability. This thesis is centered around the matter of fault recovery, in the subject of device fault-tolerance, and graceful system degradation in the presence...