Exploring Exascale Computing: Insights from SC23
Supercomputing 2023 brought together some of the brightest minds in the field of high-performance computing, showcasing the latest in exascale computing and the challenges faced in the pursuit of next-generation advances in computing. Talks by Scott Atchley from Oak Ridge National Laboratory and Stephen Pawlowski from Intel stood out for their valuable perspectives on the current state of supercomputing and future directions for the industry.
Frontier: Exploring Exascale
Scott Atchley, Distinguished R&D Staff Member and Chief Technology Officer, Oak Ridge National Laboratory’s National Center for Computational Science
Scott Atchley’s talk delved into the US supercomputer “Frontier” and its journey to meet the challenges of exascale computing. The goal was ambitious: achieving performance levels 1000 times higher than petascale systems deployed in 2008, all within a budget of 4x-6x compared to the previous generation.
Challenges identified by DARPA in 2008 when planning for Frontier included energy and power, memory and storage, concurrency and locality, and resiliency. Frontier successfully addressed these challenges, showcasing advancements in power efficiency, memory capacity and bandwidth, concurrency management, and resiliency. However, the need for a budget 4x-6x higher than the previous generation arose due to technology costs not declining by 1000x, which limited the growth of many resources compared to the previous generation of supercomputers. Components like storage and memory, particularly with the use of High Bandwidth Memory (HBM), proved more expensive.
The findings underscore the complexities of achieving exascale computing and the necessity of adapting to evolving technological landscapes, especially in the face of cost dynamics in storage and memory technologies.
To read the full article, click here
Related Semiconductor IP
- NPU IP Core for Mobile
- NPU IP Core for Edge
- Specialized Video Processing NPU IP
- HYPERBUS™ Memory Controller
- AV1 Video Encoder IP
Related Blogs
- Moore's Law Continues, but Needs Help from Heterogeneous Computing
- Blogging from Taiwan: TSMC and 40nm Yield
- Blogging from Taiwan: TSMC versus SMIC
- IP Integration : What is the difference between stitching and weaving?
Latest Blogs
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding
- Synopsys Expands Collaboration with Arm to Accelerate the Automotive Industry’s Transformation to Software-Defined Vehicles
- Deep Robotics and Arm Power the Future of Autonomous Mobility