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Full-Text Articles in Engineering

Evaluating Serverless Computing, Charitra Maharjan Aug 2022

Evaluating Serverless Computing, Charitra Maharjan

LSU Master's Theses

Function as a Service (FaaS) is gaining admiration because of its way of deploying the computations to serverless backends in the different clouds. It transfers the complexity of provisioning and allocating the necessary resources for an application to the cloud providers. The cloud providers also give an illusion of always availability of resources to the users. Among the cloud providers, AWS serverless platform offers a new paradigm for developing cloud applications without worrying about the underlying hardware infrastructure. It manages not only the resource provisioning and scaling of an application but also provides an opportunity to reimagine the cloud infrastructure …


Arm Mke1xf Mcu Replatform, Nathan Hong, Derek Lung, Japsimran Singh, Bevin Tang Jun 2018

Arm Mke1xf Mcu Replatform, Nathan Hong, Derek Lung, Japsimran Singh, Bevin Tang

Computer Engineering

After Cal Poly Racing’s electrical team began to hit the technical limits of the ADC and other I/O features of the current 8-bit Atmel AT90 microcontroller unit, it became clear that an upgrade was due. This replatforming project takes the functionalities of the old, 8-bit architecture, and aims to provide a 32-bit version using the ARM MKE1xF MCU. With the idea of having a working PCB as a stretch goal, the scope of the library development was limited to enable base functionality. Thus, the only libraries developed were for the Timer, ADC, SPI, UART, and CAN. Additionally, this document discusses …


Astro – A Low-Cost, Low-Power Cluster For Cpu-Gpu Hybrid Computing Using The Jetson Tk1, Sean Kai Sheen Jun 2016

Astro – A Low-Cost, Low-Power Cluster For Cpu-Gpu Hybrid Computing Using The Jetson Tk1, Sean Kai Sheen

Master's Theses

With the rising costs of large scale distributed systems many researchers have began looking at utilizing low power architectures for clusters. In this paper, we describe our Astro cluster, which consists of 46 NVIDIA Jetson TK1 nodes each equipped with an ARM Cortex A15 CPU, 192 core Kepler GPU, 2 GB of RAM, and 16 GB of flash storage. The cluster has a number of advantages when compared to conventional clusters including lower power usage, ambient cooling, shared memory between the CPU and GPU, and affordability. The cluster is built using commodity hardware and can be setup for relatively low …


Design Of Cpu Simulation Software For Armv7 Instruction Set Architecture, Dillon Tellier Jun 2014

Design Of Cpu Simulation Software For Armv7 Instruction Set Architecture, Dillon Tellier

Computer Engineering

Simulations have long been a part of the engineering process in both the professional and academic domain. From a pedagogic standpoint, simulations allow students to explore the dynamics of engineering scenarios by controlling variables, taking measurements, and observing behavior which would be difficult or impossible without simulation. One such tool is a CPU simulator used in Cal Poly’s Computer Architecture classes; this software simulates an instruction accurate operation of a computer processor and reports statistics regarding the execution of the supplied compiled machine code. For the last several years Cal Poly’s computer architecture classes have used a previous version of …


Utilization Of Automated Gcc Optimization For Dual-Width Instruction Sets On The Arm Architecture, Shane Watson Dec 2010

Utilization Of Automated Gcc Optimization For Dual-Width Instruction Sets On The Arm Architecture, Shane Watson

Computer Engineering

One of the most important considerations in embedded systems is code size. This consideration is obviously imposed by external factors such as cost and physical space, but what it boils down to is that we want our devices to be as powerful as they can within a (typically limited) specific form factor. This limits the amount of space we have for memory and as such we should always be considering the code size of our application and making sure it’s as efficient as possible. We also then need to consider other factors such as performance and power consumption. This is …