
MIT Announces New, Easier HPC Programming Language
$1,500.00
Authors: Jaclyn Ludema and Bob Sorensen
Publication Date: April 202025
Length: 1 pages
USA-based MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) recently unveiled a new programming language for high-performance computing (HPC) called Exo 2. This language allows HPC programmers to explicitly control how the compiler generates code by creating scheduling operations outside the compiler. This approach may foster faster user-directed code execution while facilitating the creation of reusable scheduling libraries. MIT claims this approach may boost flexibility and promote the reuse of scheduling code across different applications and hardware platforms.
Related Products
German Commercial Consortium Moves to Bolster Quantum Computing Industrial Use
Bob Sorensen, Earl Joseph
Ten leading German corporations recently stood up the Quantum Technology and Applications Consortium (QUTAC) to explore and promote the commercial application of quantum computing (QC) targeted for the German industrial base as a way to ensure German competitive advantage across a broad array of industries. The effort spans industrial sectors and founding members that include automotive manufacturing (Bosch, BMW, and Volkswagen), chemical and pharmaceutical (BASF, Boehringer Ingelheim, and Merck), insurance (Munich Re) and technology (Infineon, SAP, and Siemens). AIRBUS is participating as an external contributor.
8 202021 | HYP_Link
US Government Proposed FY 2022 Budget Targets Increased Funding to Support Domestic Quantum Information Science
Bob Sorensen, Tom Sorensen
The US Office of Science and Technology Policy recently released its second annual National Quantum Initiative (NQI) report, a supplement to the President's FY22 Budget Request that outlines the major US government quantum information science (QIS) research activities and related funding levels out to FY 2022. As seen in Figure 1, the proposed FY2022 budget, which is targeted for about $880 million, calls for an increase of nearly 11% from the previous year. Roughly half of the funding is to come from the NQI and the other half from base agency-specific QIS R&D budgets. The figure represents the sum of Federal budgets for U.S. QIS R&D efforts in over a dozen agencies including NIST, NSF, DOE, NASA, DOD, and DHS, and it also aggregates several QIS subtopics such as computing, networking, sensing, fundamental science, and end quantum-related use cases
December 202021 | HYP_Link