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Category: supercomputing – Page 56

20 exaFLOP supercomputer proposed for 2025

The U.S. Department of Energy (DOE) has published a request for information from computer hardware and software vendors to assist in the planning, design, and commission of next-generation supercomputing systems.

The DOE request calls for computing systems in the 2025–2030 timeframe that are five to 10 times faster than those currently available and/or able to perform more complex applications in “data science, artificial intelligence, edge deployments at facilities, and science ecosystem problems, in addition to traditional modelling and simulation applications.”

U.S. and Slovakia-based company Tachyum has now responded with its proposal for a 20 exaFLOP system. This would be based on Prodigy, its flagship product and described as the world’s first “universal” processor. According to Tachyum, the chip integrates 128 64-bit compute cores running at 5.7 GHz and combining the functionality of a CPU, GPU, and TPU into a single device with homogeneous architecture. This allows Prodigy to deliver performance at up to 4x that of the highest performing x86 processors (for cloud workloads) and 3x that of the highest performing GPU for HPC and 6x for AI applications.

New Fastest AI Supercomputer To Surpass Human Brain By 5X Size & 10X Speed | AI Powered Exoskeleton

New AI supercomputer from Graphcore will have 500 trillion parameters, (5x that of human brain) and compute at a speed of 10 exaflops per second (10x that of human brain) for a cost of $120 million USD. New AI powered exoskeleton uses machine learning to help patients walk. AI detects diabetes and prediabetes using machine learning to identify ECG signals indicative of the disease. AI identifies cancerous lesions in IBD patients.

AI News Timestamps:
0:00 New AI Supercomputer To Beat Human Brain.
3:06 AI Powered Exoskeleton.
4:35 AI Predicts Diabetes.
6:55 AI Detects Cancerous Lesions For IBD

👉 Crypto AI News: https://www.youtube.com/c/CryptoAINews/videos.

#ai #news #supercomputer

Radio bursts from ‘zombie’ black holes excite astronomers

Capturing details of faraway members of our universe is an understandably complicated affair, but translating these details into the stunning space images that we see from space agencies around the world is equally difficult. It is here that supercomputers step in, helping process the massive amounts of data that are captured by terrestrial and space telescopes. On August 11, that is exactly what Australia’s upcoming supercomputer, called Setonix, helped achieve.

Australia’s most powerful supercomputer kicks off

Capturing details of faraway members of our universe is an understandably complicated affair, but translating these details into the stunning space images that we see from space agencies around the world is equally difficult. It is here that supercomputers step in, helping process the massive amounts of data that are captured by terrestrial and space telescopes. On August 11, that is exactly what Australia’s upcoming supercomputer, called Setonix, helped achieve.

As its first project, Setonix processed the image of a dying supernova — the last stages of a dying star — from data sent to it by the Australian Square Kilometer Array Pathfinder (Askap). The latter is a terrestrial radio telescope, which has 36 individual antennas working together to capture radio frequency data about objects that are far away in space.

Such data contains intricate details about the object being observed. This not only increases the volume of the data being captured by the telescope, but also puts increasing pressure on a supercomputer to process it into a composite image.

1.1 quintillion operations per second: US has world’s fastest supercomputer

The US has retaken the top spot in the world supercomputer rankings with the exascale Frontier system at Oak Ridge National Laboratory (ORNL) in Tennessee.

The Frontier system’s score of 1.102 exaflop/s makes it “the most powerful supercomputer to ever exist” and “the first true exascale machine,” the Top 500 project said Monday in the announcement of its latest rankings. Exaflop/s (or exaflops) is short for 1 quintillion floating-point operations per second.

Frontier was more than twice as fast as a Japanese system that placed second in the rankings, which are based on the LINPACK benchmark that measures the “performance of a dedicated system for solving a dense system of linear equations.”

Researcher is studying materials whose traits resemble those of the human brain

In its heyday, UIUC’s Blue Waters was one of the world’s top supercomputers. Anyone who was curious could drop by its 30,000-square-foot machine room for a tour, and spend half an hour strolling among the 288 huge black cabinets, supported by a 24-megawatt power supply, that housed its hundreds of thousands of computational cores.

Blue Waters is gone, but today UIUC is home to not just one, but tens of thousands of vastly superior computers. Although these wondrous machines put Blue Waters to shame, each one weighs just three pounds, can be fueled by coffee and sandwiches, and is only the size of its owner’s two hands curled together. We all carry them between our ears.

The fact is that humanity is far from having artificial computers that can match the capabilities of the human , outside a narrow range of well-defined tasks. Will we ever capture the brain’s magic? To help answer that question, MRL’s Axel Hoffmann recently led the writing of an APL Materials “Perspectives” article that summarizes and reflects on efforts to find so-called “quantum materials” that can mimic .

Tesla teases Optimus humanoid robot prototype with new image

Tesla has teased its Optimus humanoid robot prototype with a new image ahead of a full unveiling planned for September 30th.

Earlier this year, CEO Elon Musk announced “Tesla AI Day #2” with “many cool updates” on August 19.

The original “Tesla AI Day” held last year was an event focused on the company’s self-driving program. The automaker also unveiled its Dojo supercomputer and announced plans for the “Tesla Bot” humanoid robot – now known as Tesla Optimus.

Developing a new approach for building quantum computers

Quantum computing, though still in its early days, has the potential to dramatically increase processing power by harnessing the strange behavior of particles at the smallest scales. Some research groups have already reported performing calculations that would take a traditional supercomputer thousands of years. In the long term, quantum computers could provide unbreakable encryption and simulations of nature beyond today’s capabilities.

A UCLA-led interdisciplinary research team including collaborators at Harvard University has now developed a fundamentally new strategy for building these computers. While the current state of the art employs circuits, semiconductors and other tools of electrical engineering, the team has produced a game plan based in chemists’ ability to custom-design atomic building blocks that control the properties of larger molecular structures when they’re put together.

The findings, published last week in Nature Chemistry, could ultimately lead to a leap in quantum processing power.

Research finds mechanically driven chemistry accelerates reactions in explosives

Scientists at the Lawrence Livermore National Laboratory (LLNL) Energetic Materials Center and Purdue University Materials Engineering Department have used simulations performed on the LLNL supercomputer Quartz to uncover a general mechanism that accelerates chemistry in detonating explosives critical to managing the nation’s nuclear stockpile. Their research is featured in the July 15 issue of the Journal of Physical Chemistry Letters.

Insensitive high explosives based on TATB (1,3,5-triamino-2,4,6-trinitrobenzene) offer enhanced safety properties over more conventional explosives, but physical explanations for these safety characteristics are not clear. Explosive initiation is understood to arise from hotspots that are formed when a shockwave interacts with microstructural defects such as pores. Ultrafast compression of pores leads to an intense localized spike in temperature, which accelerates chemical reactions needed to initiate burning and ultimately . Engineering models for insensitive high explosives—used to assess safety and performance—are based on the hotspot concept but have difficulty in describing a wide range of conditions, indicating missing physics in those models.

Using large-scale atomically resolved reactive molecular dynamics supercomputer simulations, the team aimed to directly compute how hotspots form and grow to better understand what causes them to react.

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