Ceremorphic Touts Its HPC/AI Silicon Technology as It Exits Stealth

January 25, 2022

In a market still filling with fledging silicon chips, Ceremorphic, Inc. has exited stealth and is telling the world about what it calls its patented new ThreadArch multi-thread processor technology that is intended to help improve new supercomputers. Venkat Mattela, the company’s founder and CEO of Ceremorphic, calls his latest chip design... Read more…

Purdue Researchers Peer into the ‘Fog of the Machine Learning Accelerator War’

September 27, 2021

Making sense of ML performance and benchmark data is an ongoing challenge. In light of last week’s release of the most recent MLPerf (v1.1) inference results, now is perhaps a good time to review how valuable (or not) such ML benchmarks are and the challenges they face. Two researchers... Read more…

IBM’s Upcoming Z Series Chip Gains On-Chip AI Acceleration and New Name: Telum

August 23, 2021

In a major refresh of its Z Series chips, IBM is adding on-chip AI acceleration capabilities to allow enterprise customers to perform deep learning inferencing Read more…

Baidu Brain 7.0 AI Platform Announced; Baidu Kunlun II AI Chips Now in Mass Production

August 18, 2021

The latest version of Baidu’s open AI platform, Baidu Brain 7.0, has been launched by the Chinese technology company, which also announced that its Kunlun II Read more…

PEARC21 Panel: Wafer-Scale-Engine Technology Accelerates Machine Learning, HPC

July 21, 2021

Early use of Cerebras’ CS-1 server and wafer-scale engine (WSE) has demonstrated promising acceleration of machine-learning algorithms, according to participa Read more…

David Patterson Kicks Off AI Hardware Summit Championing Domain Specific Chips

September 30, 2020

The 2020 AI Hardware Summit kicked off yesterday with long-time computer luminary David Patterson digging into all things TPU and extolling on how they outrun G Read more…

AI Silicon Startup Graphcore Launches Channel Partner Program

September 23, 2020

AI compute platform vendor Graphcore has launched its first formal global channel partner program to promote and boost the sales of its AI processors and blade computing products. The formalized, all-new Graphcore Elite Partner Program follows the company’s past history of working with several... Read more…

Graphcore Introduces Next-Gen Intelligence Processing Unit for AI Workloads

July 15, 2020

British hardware designer Graphcore, which emerged from stealth in 2016 to launch its first-generation Intelligence Processing Unit (IPU), has announced its nex Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

5 HPC Optimization Techniques

For many organizations, decisions about whether to run HPC workloads in the cloud or in on-premises datacenters are less all-encompassing and more about leveraging both infrastructures strategically to optimize HPC workloads across hybrid environments. From multi-clouds to on-premises, dark, edge, and point of presence (PoP) datacenters, data comes from all directions and in all forms while HPC workloads run in every dimension of modern datacenter schemes. HPC has become multi-dimensional and must be managed as such.

This white paper explores several of these new strategies and tools for optimizing HPC workloads across all dimensions to achieve breakthrough results in Microsoft Azure.

Download Now

Sponsored by Altair

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

Receive the Monthly
Advanced Computing Job Bank Resource:

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire