Accelerating Drug Discovery with high-throughput Cell Painting on AWS

Are you facing challenges in cell image processing? Let’s dive into how life sciences customers have transformed cell analysis using AWS’s Cell Painting Batch solution. Introduction ShareTweetPostPin It!

Optimizing HPC deployments with EC2 Fleet and IBM Spectrum LSF

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 Continue reading Optimizing HPC deployments with EC2 Fleet and IBM Spectrum LSF

University of Michigan student team develops an energy efficient solar car with High Performance Computing (HPC) on AWS

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, Continue reading University of Michigan student team develops an energy efficient solar car with High Performance Computing (HPC) on AWS

Simulating Automotive E/E Architectures in AWS Part 2: Solution in Action

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 Continue reading Simulating Automotive E/E Architectures in AWS Part 2: Solution in Action

Simulating Automotive E/E Architectures in AWS – Part 1: Accelerating the V-Model

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 Continue reading Simulating Automotive E/E Architectures in AWS – Part 1: Accelerating the V-Model