Codasip and Munich University of Applied Science Become CHIPS Alliance Members

October 16, 2019

SAN FRANCISCO, Oct. 16, 2019 — CHIPS Alliance, the leading consortium advancing common, open hardware for interfaces, processors and systems, today announced Codasip GmbH and Munich University of Applied Science have joined the CHIPS Alliance. In addition, on November 14–15, CHIPS Alliance will be joining the university for a workshop on open source design verification.

CHIPS Alliance is a project hosted by the Linux Foundation to foster a collaborative environment to accelerate the creation and deployment of open SoCs, peripherals and software tools for use in mobile, computing, consumer electronics, and Internet of Things (IoT) applications. The CHIPS Alliance project develops high-quality open source Register Transfer Level (RTL) code relevant to the design of open source CPUs, RISC-V-based SoCs, and complex peripherals for Field Programmable Gate Arrays (FPGAs) and custom silicon.

Codasip is a leading supplier of configurable RISC-V embedded processor IP. Codasip provides a portfolio of various RISC-V implementations along with a suite of processor developers tools to allow for rapid core customization, and will contribute to working groups on verification platforms and open cores.

“Codasip has years of processor development experience and has shown its dedication to open platforms by its contributions to open source compiler and compliance projects. We welcome their participation in the CHIPS Alliance to facilitate the adoption of open architectures,” said Zvonimir Bandić, senior director of next-generation platforms architecture at Western Digital and Chairman, CHIPS Alliance.

“Codasip is excited to join the CHIPS Alliance and support the community in its efforts to ease the path of adoption of RISC-V processors in leading-edge SOC applications,” said Karel Masařík, CEO of Codasip. “The CHIPS Alliance is the logical next step in providing chip designers more choices when it comes to processor architectures.”

Munich University of Applied Sciences aims to secure an outstanding position as a university of applied sciences. It recognizes the future demands of society and industry, and is changing with a critical yet open vision for current issues, such as the ongoing digitalization of all areas of life. The university focuses on continuous improvement of quality and on constant development in research, teaching, and continuing education.

“We strongly believe in open source silicon and design flows,” said Stefan Wallentowitz, professor for computer architecture at MUAS. “We look forward to improving open source verification tools together with innovative companies in that field.”

In cooperation with Munich University of Applied Science, the CHIPS Alliance is conducting an open source design verification workshop in Munich. The workshop invites contributions from industry, academia and hobbyists as talks or tutorials. Registration is open now for the November 14–15 event.

About Codasip

Codasip delivers leading-edge processor IP and high-level design tools, providing ASIC designers with all the advantages of the RISC-V open ISA, along with the unique ability to automatically optimize the processor IP. As a founding member of the RISC-V Foundation and a long-term supplier of LLVM and GNU-based processor solutions, Codasip is committed to open standards for embedded processors. Formed in 2006 and headquartered in Munich, Germany, Codasip currently has offices in the US and Europe, with representatives in Asia and Israel. For more information about our products and services, visit www.codasip.com.

About the CHIPS Alliance

The CHIPS Alliance is an organization which develops and hosts high-quality, open source hardware code (IP cores), interconnect IP (physical and logical protocols), and open source software development tools for design, verification, and more. The main aim is to provide a barrier-free collaborative environment, to lower the cost of developing IP and tools for hardware development. The CHIPS Alliance is hosted by the Linux Foundation. For more information, visit chipsalliance.org.

About the Linux Foundation

The Linux Foundation was founded in 2000 and has since become the world’s leading home for collaboration on open source software, open standards, open data, and open hardware. Today, the Foundation is supported by more than 1,000 members and its projects are critical to the world’s infrastructure, including Linux, Kubernetes, Node.js and more. The Linux Foundation focuses on employing best practices and addressing the needs of contributors, users, and solution providers to create sustainable models for open collaboration. For more information, visit linuxfoundation.org.


Source: Linux Foundation

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire