Arm is excited to be back at AWS Re:Invent (Nov 29 - Dec 3 Las Vegas, NV) and we invite you to join us at our booth (#1667) or at our speaking sessions to learn more about Arm’s solutions.
Stop by our booth to see our demos, talk with our technical experts, and enter to win one of our twice-daily raffle prizes. Our demos will showcase the benefits of AWS Graviton2 across a range of common workloads (Redis, NGINX, MongoDB, Kafka, others). And you can learn how to develop applications in the AWS cloud that can run on edge devices. Or just grab a cool Arm sticker for your laptop.
And each day at 12pm (noon) and 3pm we will be raffling off some fun development hardware:
Please note, you must be present to win and can only win once.
Note: image is representative, specific raffle prizes may vary.
If you have any troubling finding us, our booth is very close to the main AWS booth. If you are facing the AWS booth we will be by the near left corner.
Monday Nov 29, 12:15-1:15pm
Ceasars Forum, Level 1, Summit 228
MFG204
Engineering and design workload modernization is transforming the industrial sector to improve performance, productivity, and efficiency. Leading industrial companies are building digital engineering platforms on the cloud using the broad and deep catalog of services available on AWS, including end user computing, data lakes, and analytics. In this session, hear from Arm on how they use the cloud to accelerate productivity and optimize engineering workflows by providing a common set of shared services integrated with existing industrial and enterprise systems.
Speakers: Mark Galbraith (Arm), David Pellerin (AWS), Walker Stemple (AWS)
Mark Galbraith, VP of Productivity Engineering, Arm
Monday Nov 29, 3:15-4:15pm
CMP202
High performance computing (HPC) has always been about solving the most complex problems, but for far too long, HPC applications and workloads have been constrained by infrastructure capacity. In this breakout session, learn how flexible configuration, virtually unlimited scale, and AWS’s complete portfolio of HPC-focused solutions enable researchers and engineers to tune and scale infrastructure as their workloads dictate, not the other way around. Learn how the latest Amazon EC2 instances and new HPC-focused product and service features make AWS the best place to run everything from tightly coupled, MPI-based HPC workloads to loosely coupled, embarrassingly parallel workloads.
Speakers: Philippe Moyer (Arm), Ian Colle (AWS)
Philippe Moyer, VP of Design Enablement, Arm
Tuesday Nov 30, 3:30-4:30pm
Ceasars Forum, Level 1, Forum 104
MFG304
As a global semiconductor IP company, Arm’s engineering operations demand a platform that provides the scalability and reliability needed for complex IP design and verification, and the cloud provides the opportunity to satisfy these requirements. In this chalk talk, find out how Arm is taking a cloud-native approach to satisfy their engineering requirements and realize the full value of the cloud. Also, learn about the design objective, challenges (like workload migration and governance), workarounds, lessons learned, and future plans beyond the current deployment.
Speakers: Zhifeng Yun (Arm), Ludvig Nordstrom (AWS), Allan Carter (AWS)
Zhifeng Yun, Technical Director of Productivity Engineering, Arm
Monday Nov 29 and Tuesday Nov30th, All Day
Chalk Talks - AWS and Arm Booths
Shivi Gupta and Gavin Adams from AWS will present in the Chalk Talks describing the integration of Parsec and answer questions from the audience. Also, swing by the Arm booth where we will be showcasing the technology and there to answer your questions. More details about Parsec integration and the Re:Invent session can be found in this blog.
Tuesday Dec 2, 12:10pm
Venetian, Houdini Partner Theater
Kailas Jawadekar, Senior Software Ecosystem Manager, Arm, will discuss the performance and cost saving benefits of Arm Neoverse and AWS Graviton2 on a range of cloud workloads.
Switching to AWS Graviton2 is easy: this demo shows different aspects of how porting your code to run on AWS Graviton2 has been made easy.
Elastic Map Reduce cluster running Apache Spark: this demo will show how well big data and ML applications can perform on AWS Graviton2-based instances.
Enjoy your AWS Re:Invent 2021. We hope to see you all there.
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