Manufacturing Bits: Aug. 13


Exascale supercomputers The Department of Energy’s National Nuclear Security Administration (DOE/NNSA) has signed a contract valued at $600 million with Cray to build NNSA’s first exascale supercomputer. The system, called El Capitan, is expected to be shipped in late 2022. El Capitan will be housed at Lawrence Livermore National Laboratory (LLNL), and will perform research to maintain ... » read more

Manufacturing Bits: July 10


Semicon West It’s Semicon West time again. Here’s the first wave of announcements at the event: Applied Materials has unveiled a pair of tools aimed at accelerating the industry adoption for new memories. First, Applied rolled out the Endura Clover MRAM PVD system. The system is an integrated platform for MRAM devices. Second, the company introduced the Endura Impulse PVD platform for P... » read more

System Bits: June 25


Supercomputers around the world At last week’s International Supercomputing Conference in Frankfurt, Germany, the 53rd biannual list of the Top500 of the most powerful computing systems in the world was released. Broken out by countries of installation, China has 219 of the world’s 500 fastest supercomputers, compared with 116 in the United States. Ranking by percent of list flops, the ... » read more

Manufacturing Bits: Feb. 19


Computed Axial Lithography Lawrence Livermore National Laboratory (LLNL) and the University of California at Berkeley have developed a 3D printing method to produce a new class of polymer parts. The technology, called Computed Axial Lithography (CAL), projects photons on a resin in a vial within a 3D printer. In total, researchers have demonstrated the ability to shine 1,440 different proje... » read more

Manufacturing Bits: Jan. 9


Two-photon lithography Lawrence Livermore National Laboratory (LLNL) has extended the capabilities of a high-resolution 3D printing technique called two-photon lithography (TPL). TPL enables the development of 3D-printed objects. LLNL’s technology could enable 3D-printed embedded structures inside the body, such as stents, joint replacements or bone scaffolds. It could also one day be ... » read more

Manufacturing Bits: Dec. 5


Intel vs. GlobalFoundries At the IEEE International Electron Devices Meeting (IEDM) this week, GlobalFoundries and Intel will square off and present papers on their new logic processes. Intel will present more details about its previously-announced 10nm finFET technology, while GlobalFoundries will discuss its 7nm finFET process. As expected, Intel and GlobalFoundries will use 193nm immersi... » read more

Manufacturing Bits: Nov. 7


Making a superbeam Lawrence Livermore National Laboratory (LLNL) has combined several lasers to create what it calls a superbeam. The move represents a possible breakthrough in the arena. In theory, lasers can be combined. But the laser beams tend to pass through each other, thereby making a combined laser or a superbeam nearly impossible. With the help of plasma optics, however, LLNL ha... » read more

The Rise Of Parallelism


Parallel computing is an idea whose time has finally come, but not for the obvious reasons. Parallelism is a computer science concept that is older Moore's Law. In fact, it first appeared in print in a 1958 IBM research memo, in which John Cocke, a mathematician, and Daniel Slotnick, a computer scientist, discussed parallelism in numerical calculations. That was followed eight years later by... » read more

The Week In Review: Manufacturing


Chipmakers Lawrence Livermore National Laboratory (LLNL) has purchased a brain-inspired supercomputing platform for deep learning developed by IBM Research. LLNL will receive a 16-chip TrueNorth system from IBM. A single TrueNorth processor from IBM consists of 5.4 billion transistors wired together to create an array of 1 million digital neurons. The chip is fabricated based on a 28nm LPP pro... » read more

Manufacturing Bits: March 29


Brain-inspired computing Lawrence Livermore National Laboratory (LLNL) has purchased a brain-inspired supercomputing platform for deep learning developed by IBM Research. Based on a neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses. It will consume the energy equivalent of a tablet computer. ... » read more

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