Tag: hpc

Introduction High performance computing (HPC) workloads are becoming complex with the advent of big data, advanced node electronic design automation (EDA) for chip design, and high-precision verification. Enterprises are adopting Amazon Web Services (AWS) to meet the constantly growing compute demands in HPC. Worldwide HPC in the Cloud Forecast 2020–2026 from Hyperion Research (June 2022) […]

Driving a car powered only by light rays from the sun, across a 3000 km wide continent, in the shortest possible time, is no easy task. The University of Michigan’s solar car team is heading off to do exactly that, with help from High Performance Computing (HPC) on Amazon Web Services (AWS). The student team […]

This is the second blog post in our 2-part series that provides guidance on how to simulate automotive Electrical/Electronic (E/E) architectures in AWS. In part 1, we discussed the trends in automotive E/E architectures and the general concepts and challenges facing automakers around simulation of Electronic Control Unit (ECU) software utilizing the cloud. In this […]

Over the last 15 years, the complexity of automotive Electrical/Electronic (E/E) architectures which include Electronic Control Units (ECUs), related sensors, actuators, and wiring inside vehicles has grown. Rather than continuing to add new hardware components to E/E architectures, automakers are shifting towards consolidating smaller, fixed-function ECUs into a larger High Performance Computer (HPC) while retaining […]

At AWS re:Invent 2022, which was held in Las Vegas, Nevada, from November 28 to December 2, AWS made several announcements relevant to the automotive industry. This blog post will summarize all the services and features from these announcements that are most relevant to the automotive industry. We will highlight AWS automotive and manufacturing industry […]

Blog guest authored by Dr. Vedat Durmaz of Innophore In 2021, Innophore, a structural bioinformatics startup company aiming at computational enzyme and drug discovery, started the virus.watch project in cooperation with the AWS Diagnostic Development Initiative. The principal goal of this project is the implementation of a monitoring and evaluation system for emerging drug and […]

Introduction Electronic Design Automation (EDA) workloads have traditionally run on-premises on a combination of latest and older generation compute servers. The performance penalty of running Electronic Design Automation (EDA) on older generation hardware is often neglected in discussions and Total Cost of Ownership (TCO) models. With EDA license costs greatly exceeding IT spend in silicon […]

The seismic methods are the most common and effective ways for subsurface imaging to delineate and characterize oil and gas reservoirs. Seismic data are acquired in the field by deploying a seismic source (vibrator) that radiates elastic waves into the subsurface. The waves travel through the formations and are reflected back due to the variation […]

Grid simulations power various applications in the utility engineering value chain, from planning to operations. Driven by decarbonization, decentralization and digitization goals, utilities need these model-based simulations to be more detailed, accurate and faster than ever, while leveraging an increasing number of high-resolution grid measurements. This blog introduces some of the challenges associated with data-informed, […]

Introduction Chip design is not only compute and memory intensive, it also requires varying amounts of resource in different Integrated Circuit (IC) design phases: some frontend tools are single threaded and CPU bound, while backend tools rely on high performance storage and large memory. Fixed-size compute farms on-premises result in jobs waiting in queue for […]