Full-system After-cache Memory Tracing for Multi-core Systems using a Distributed Cache Simulator

The gap between CPU and memory performance becomes increasingly larger. Together with a growing memory pressure caused by higher CPU core counts combined with multi-tenant systems, this causes the need for new memory technologies. Recently, various technologies are becoming available for commercial use. Examples of these technologies are memory...

N-shot Training Methodology: For Spiking Neural Networks(SNNs)

Traditional Artificial Neural Networks(ANNs)like CNNs have shown tremendous opportunities in various domains like autonomous cars, disease diagnosis, etc. Proven learning algorithms like backpropagation help ANNs in achieving higher accuracy. But there is a serious challenge with the increasing popularity of traditional ANNs is of energy...

Mapping quantum algorithms in a crossbar architecture

In recent years, Quantum Computing has gone from theory to a promising reality, leading to quantum chips that in a near future might be able to exceed the computational power of any current supercomputer. For this to happen, there are some problems that must be overcome. For example, in a quantum processor qubits are usually arranged in a 2D...

Unitary Decomposition: Implemented in the OpenQL programming language for quantum computation

Unitary Decomposition is an algorithm for translating a unitary matrix into many small unitary matrices, which correspond to a circuit that can be executed on a quantum computer. It is implemented in the quantum programming framework of the QCA-group at TU Delft: OpenQL, a library for Python and C++. Unitary Decomposition is a necessary part in...

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...

Instrumented Skeleton Sled: Focussing on Data Processing and User Interface

This report details the design of an instrumentation system to be used on a skeleton sled. The system will measure several quantities on a skeleton track for the athlete to learn from. This data is stored during the run using several sensors on the sled and processed and visualised immediately afterwards on a mobile device. The project is tailor...

Multi-GPU Brain: A multi-node implementation for an extended Hodgkin-Huxley simulator

Current brain simulators do no scale linearly to realistic problem sizes (e.g. >100,000 neurons), which makes them impractical for researchers. The goal of the thesis is to explore the use of true multi-GPU acceleration on computationally challenging brain models and to assess the scalability of such models given sufficient access to multi...

Optimising Motor Control in Actuator Alignment

The automation of replanting seedlings into bigger trays (transplanting) has been a major industrialisation step in the horticultural sector. Modern machines are abundant in large companies and are quite effective, but they are very expensive both in purchase and maintenance. With major clients taking these costs for granted, designers have not...

Efficient inter-thread communication on the reconfigurable ρ-VEX

This thesis documents the implementation of atomic instructions for the ρ-VEX (reconfigurable VEX). These instructions enable threads to communicate enabling efficient multithreading. Furthermore, we investigate the possibility to use inter-thread communication to improve performance of static ρ-VEX configurations without significantly...

Quantum Algorithms: for pattern-matching in genomic sequences

Fast sequencing and analysis of (microorganism, plant or human) genomes will open up new vistas in fields like personalised medication, food yield and epigenetic research. Current state-of-the-art DNA pattern matching techniques use heuristic algorithms on computing clusters of CPUs, GPUs and FPGAs. With genomic data set to eclipse social and...

ρ-VEX ASIC: The Design of an ASIC for a Dynamically Reconfigurable VLIW Processor with 24-port Register File

The ρ-VEX is a runtime reconfigurable VLIW processor. It is able to exploit both ILP as well as TLP by running one program in multiple lanes, or several programs concurrently. To accurately quantify its performance compared to other processors, it is implemented as an IC.<br/>A fully automatic scripted flow is described, constructing an...