HPC News Bytes 20240108: Ericsson and the Intel 4 Process, AI and VC in 2023, Samsung and CXL for RHEL, Quantum Cybersecurity

A good January morning to you! Here’s a brief (5:14) run-down of goings-on in HPC-AI: Ericsson may beat Intel to the Intel 4 process punch, AI a bright spot on 2023 venture landscape, Samsung optimizes CXL for RHEL, new quantum cybersecurity reearch.

Call for Papers: Ken Kennedy Institute Energy HPC Conference, Jan. 15 Deadline

The 17th Annual Energy High Performance Computing Conference hosted by the Ken Kennedy Institute at Rice University, to be held March 5-7, 2024, has issued an invitation to submit an abstract for presentation. The deadline is Monday, January 15, 2024 at 11:59 PM CT. ​Abstract submission information can be found here. Conference organizers invite prospective speakers […]

ATPESC 2024: Applications to Learn about Advanced Computing Due February 28

The annual Argonne Training Program on Extreme-Scale Computing (ATPESC) is scheduled for July 28-August 9, 2024. The call for applications is open through February 28, 2024. The application can be found here. For more information, contact  support@extremecomputingtraining.anl.gov The event will be held at the Q Center in St. Charles, IL (Chicago area). The program, which […]

HPC News Bytes 20240103: Gelsinger on Moore’s Law, TSMC 1nm Plans, Huawei Financials, DARPA’s Quantum Project

All the best to everyone in 2024! A number of interesting things happened in HPC-AI last week, here’s a brief (5:18) run-down: Gelsinger’s updated Intel view on Moore’s Law; TSMC’s 1nm chip plans, Arizona fab labor dispute; Huawei’s improved financials,; DARPA’s “utility scale” quantum….

HPC News Bytes 20231225: EU Moves Toward Exascale, Neuromorphic AI, Intel to Get ASML Fab Machine, Argonne’s All-Optical Switch

‘Twas the week before Christmas, but it nevertheless was a busy week for the HPC community. Here’s a brief (5:43) look at recent developments, including: EU moves toward exascale, neuromorphic AI gets active with impressive promised ….

HPC News Bytes 20231218: Intel’s Emerald Rapids Chip, New York State’s ‘Chips Act,’ Quantum Market Sizing, NVIDIA vs. AMD ‘Benchmarketing’

A happy Monday morning to you in the run-up to the holidays. Here’s a quick run-down on recent HPC-AI news, including: Intel’s Gen-5 Emerald Rapids chip, New York State’s “Chips Act,” quantum market sizing, GPU “Benchmarketing”: Nvidia vs. AMD

At SC23: Achronix Talks Turnkey FPGA Solutions for Generative AI

We caught up with Achronix at SC23, the FPGA company that touts its turnkey solutions for generative AI workloads – automatic speech recognition in particular. Achronix Director of Product Marketing Ron Renwick walked us through the company’s solution strategy while making the case that FPGA-based genAI applications run faster than GPUs at significantly lower cost. […]

HPC News Bytes 20231211: AMD’s MI300, Quantum in the News, Linux Foundation’s 2 New Projects, EU AI Regulations, ISC Extends Deadlines

A happy deep and dark December morning to you! Here’s a sprint (5:28) through recent HPC-AI news, including: AMD MI300, the Q2B quantum conference and other quantum news, the Linux Foundation’s new projects….

HPC News Bytes 20231204: The New Yorker on NVIDIA, the Open Benchmark Council, Intel and TSMC, Digital Twins for Hydropower

Here’s a sprint (5:16) through the latest HPC -AI news, including: NVIDIA’s big feature story in The New Yorker, the Open Benchmark Council’s TOP100 lists, Intel and TSMC’s high-end 3 nanometer fab, digital twins for hydropower at ORNL and PNNL.

@HPCpodcast: Tech Analyst Adrian Cockcroft on Trends Driving Future HPC Architectures

Along with his article to be found on this site, technology analyst Adrian Cockcroft of OrionX (and former AWS vice president) joins Shahin and Doug after SC23 to discuss TOP500 trends, the AI-HPC crossover, liquid cooling, chiplets, and the emergence of UCIe and CXL – some of the anticipated advancements are truly eye-popping. In this podcast, sponsored by Lenovo, the relentless pursuit of higher performance, the acceleration in the pace of change in high performance processing, is examined.