According to a Game Developers Conference (GDC) 2024 schedule page, Microsoft is planning to present next-gen technologies with their upcoming "DirectX State of the Union Ft. Work Graphs and Introducing DirectSR" presentation. Shawn Hargreaves, Direct3D's Development Manager and Austin Kinross (PIX Developer Lead, Microsoft) are scheduled to discuss matters with representatives from NVIDIA and AMD. Wessam Bahnassi, a "20-year veteran in 3D engine design and optimization," is Team Green's Principal Engineer of Developer Technology. Rob Martin, a Fellow Software Engineer, will be representing all things Team Red—where he leads development on implementations for GPU Work Graphs. According to GDC, the intended audience will be: "graphics developers or technical directors from game studios or engine companies."

Earlier this month, an "Automatic super resolution" feature was discovered in Windows 11 Insider Preview build (24H2)—the captioned part stated: "use AI to make supported games play more smoothly with enhanced details," although further interface options granted usage in desktop applications as well. Initial analysis and user impressions indicated that Microsoft engineers had created a proprietary model, separate from familiar technologies: NVIDIA DLSS, AMD FSR and Intel XeSS. It is interesting to note that Team Blue is not participating in the upcoming March 21 "DirectX State of the Union" panel discussion (a sponsored session). GDC's event description states (in full): "The DirectX team will showcase the latest updates, demos, and best practices for game development with key partners from AMD and NVIDIA. Work graphs are the newest way to take full advantage of GPU hardware and parallelize workloads. Microsoft will provide a preview into DirectSR, making it easier than ever for game devs to scale super resolution support across Windows devices. Finally, dive into the latest tooling updates for PIX."

SAN FRANCISCO, April 21, 2023 -- The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the launch of the TLA+ Foundation to promote the adoption and development of the TLA+ programming language and its community of TLA+ practitioners. Inaugural members include Amazon Web Services (AWS), Oracle and Microsoft. TLA+ is a high-level language for modeling programs and systems, especially concurrent and distributed ones. TLA+ has been successfully used by companies to verify complex software systems, reducing errors and improving reliability. The language helps detect design flaws early in the development process, saving time and resources.

TLA+ and its tools are useful for eliminating fundamental design errors, which are hard to find and expensive to correct in code. The language is based on the idea that the best way to describe things precisely is with simple mathematics. The language was invented decades ago by the pioneering computer scientist Leslie Lamport, now a distinguished scientist with Microsoft Research. After years of Lamport's stewardship and Microsoft's support, TLA+ has found a new home at the Linux Foundation.

Hewlett Packard Enterprise (NYSE: HPE) today announced it is making supercomputing accessible for more enterprises to harness insights, solve problems and innovate faster by delivering its world-leading, energy-efficient supercomputers in a smaller form factor and at a lower price point.

The expanded portfolio includes new HPE Cray EX and HPE Cray XD supercomputers, which are based on HPE's exascale innovation that delivers end-to-end, purpose-built technologies in compute, accelerated compute, interconnect, storage, software, and flexible power and cooling options. The supercomputers provide significant performance and AI-at-scale capabilities to tackle demanding, data-intensive workloads, speed up AI and machine learning initiatives, and accelerate innovation to deliver products and services to market faster.

Intel today released and updated version of its "Architecture Instruction Set Extensions and Future Features Programming" Reference document with the latest advanced matrix extension (AMX) programming reference. This gives us some insights into AMX and how it works. While we will not go in too much depth here, the AMX is pretty simple. Intel describes it as the following: "Intel Advanced Matrix Extensions (Intel AMX) is a new 64-bit programming paradigm consisting of two components: a set of 2-dimensional registers (tiles) representing sub-arrays from a larger 2-dimensional memory image, and an accelerator able to operate on tiles, the first implementation is called TMUL (tile matrix multiply unit)." In other words, this represents another matrix processing extension that can be used for a wide variety of workload, mainly machine learning processing. The first microarchitecture that will implement the new extension is Sapphire Rapids Xeon processor. You can find more about AMX here.

NVIDIA today announced NVIDIA CUDA 6, the latest version of the world's most pervasive parallel computing platform and programming model.

The CUDA 6 platform makes parallel programming easier than ever, enabling software developers to dramatically decrease the time and effort required to accelerate their scientific, engineering, enterprise and other applications with GPUs.

In an effort to make it easier for programmers to take advantage of parallel computing, NVIDIA, Cray Inc., the Portland Group (PGI), and CAPS enterprise announced today a new parallel-programming standard, known as OpenACC.

Initially developed by PGI, Cray, and NVIDIA, with support from CAPS, OpenACC is a new open parallel programming standard designed to enable the millions of scientific and technical programmers to easily take advantage of the transformative power of heterogeneous CPU/GPU computing systems.

OpenACC allows parallel programmers to provide simple hints, known as "directives," to the compiler, identifying which areas of code to accelerate, without requiring programmers to modify or adapt the underlying code itself. By exposing parallelism to the compiler, directives allow the compiler to do the detailed work of mapping the computation onto the accelerator.

ComputerWorld has done some research, and compiled a very interesting list of the PC skills that currently have little or no demand. Here is a very shortened version of that list. Please check the source link for the full version of the list with a much better explanation of, well, everything.

First place: Cobol.
Cobol is a very old programming language that saw a quick spike during the Y2K paranoia. However, since then, Cobol has been slowly on the way out, Universities no longer teach it, and rarely anyone uses it.

Second place: Nonrelational DBMS.
DBMS is an old database protocol, sort of like MySQL. MySQL is in fact one of the database protocols that replaced DBMS.

Third place: Networks without IP addresses.
This one's self explanatory. Back in the late 1980's/early 1990's, corporations thought it would be a sweet idea to put their computers on networks without IP addresses. Considering that a computer's IP address is like a regular mailing address, networks sans IP kinda bit the dust.