Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Simulating nature with the new Microsoft Quantum Development Kit chemistry library

In this video, the Microsoft Quantum Team describes how Quantum computers have the potential to solve the world’s hardest computational problems and alter the economic, industrial, academic, and societal landscape. In just hours or days, a quantum computer can solve complex problems that would otherwise take billions of years to solve. “To unlock these potential applications, the Microsoft Quantum Development Kit includes a new chemistry library that allows chemists to simulate molecular interactions and explore quantum algorithms for real-world applications in the chemistry domain.”

SC18 Preview: “A Quantum Future of Computation” by Microsoft’s Matthias Troyer

SC18 is continuing its series of session previews this week with a look at an Invited Talk on Quantum Computing by Matthias Troyer from Microsoft Research. “Attempting to bring clarity to the fast growing field of quantum computing, I will describe the hardware and software architecture of quantum computers and discuss how they differ from conventional classical high performance computers. Based on this, I will attempt to dispel myths and hype surrounding the field and present a realistic assessment of the potential of these devices, and the specific application areas on which they are expected to have a large impact.”

SC17 Invited Talk: Gordon Bell on the Rise of Scalable Systems

Gordon Bell gave this Invited Talk at SC17. “A globally recognized pioneer in the supercomputing world, Bell will be sharing his latest reflections and insights with his fellow scientists, engineers and researchers at SC17 in Denver. Bell will highlight the work of the winners of the ACM Gordon Bell Prize from the past 30 years. Presented by the ACM, the recipients’ achievements have chronicled the important innovations and transitions of high performance computing, including the rise of parallel computing, a computing architecture that breaks down problems into smaller ones that may be solved simultaneously.”

Video: Scalable Deep Learning with Microsoft Cognitive Toolkit (CNTK)

“Microsoft AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core, is the ability to harness the explosion of digital data and computational power with advanced algorithms that extend the ability for machines to learn, reason, sense and understand—enabling collaborative and natural interactions between machines and humans.”

Interview: Hot Interconnects Conference to Focus on Next-Generation Networks

The Hot Interconnects Conference is coming up Aug. 28-30 in Santa Clara. To learn more, we caught up with Program Chairs Ryan Grant and Jitu (Jitendra) Padhye. “Hot Interconnects brings together members of the industrial, academic and broader research community to unveil the very latest advances in network technologies as well as to discuss ideas for future generation interconnects. Unlike other conferences, Hot Interconnects is focused on only the latest most topical subjects and concentrates on technologies that will be available for deployment in the near future.”

Video: Towards Quantum High Performance Computing

“Following an introduction to the exceptional computational power of quantum computers using analogies with classical high performance computing systems, I will discuss real-world application problems that can be tackled on medium scale quantum computers but not on post exa-scale classical computers. I will motivate hardware software co-design of quantum accelerators to classical supercomputers and the need for educating a new generation of quantum software engineers with knowledge both in quantum computing and in high performance computing.”

Jennifer Chayes from Microsoft Research to Keynote ISC 2017

Today ISC 2017 announced that data scientist, Prof. Dr. Jennifer Tour Chayes from Microsoft Research will give the opening keynote at the conference. “I’ll discuss in some detail two particular applications: the very efficient machine learning algorithms for doing collaborative filtering on massive sparse networks of users and products, like the Netflix network; and the inference algorithms on cancer genomic data to suggest possible drug targets for certain kinds of cancer,” explains Chayes.

Video: A Hybrid Approach to Strongly Correlated Materials

Matthias Troyer frin ETH Zurich presented this talk at a recent Microsoft Research event. “Given limitations to the scaling for simulating the full Coulomb Hamiltonian on quantum computers, a hybrid approach – deriving effective models from density functional theory codes and solving these effective models by quantum computers seem to be a promising way to proceed for calculating the electronic structure of correlated materials on a quantum computer.”