OT -- futuristic mumblings from IBM and AMAT
In-Memory Computing Using Photonic Memory Devices
February 15, 2019 | Written by: Abu Sebastian and Harish Bhaskaran
Categorized: IBM Research-Zurich | Publications
Could light be the answer to the future of more energy-efficient and faster computing?
Today, our collaborative team of scientists led by Oxford and IBM Research-Zurich, with colleagues at Exeter and Munster, published a new research paper that points to its potential. Together we have developed an all-optical approach to developing direct in-memory multiplication on an integrated photonic device based on non-volatile multilevel phase-change memories. Electronic phase change memory (PCM) is an emerging non-volatile memory technology that could play a significant role in future computing systems. Using integrated photonic technology will potentially offer attractive solutions for using light to carry out computational tasks on a chip in future.
This concept of implementing in-memory computing on an integrated photonic chip has the ability to further transform the computing landscape, especially since speeds and bandwidths working directly on an optical domain are increased. In a nutshell, this means faster detection, expanded operations, and decreased energy consumption.
Our work is featured in the current issue of the peer-reviewed journal Science Advances.
continues at ibm.com
[I can't claim to actually understand this paper, but maybe someone else will and will be able to translate it into an English that is more comprehensible to lay people like myself. And then there is this too (although listening to the panel discussion would help:
Multiple Approaches To Memory Challenges
As DRAM and NAND become more specialized, entirely new memory architectures are on the horizon.
February 21st, 2019 - By: Ryan Gibson
As we enter the era of Big Data and Artificial Intelligence (AI), it is amazing to think about the possibilities for a truly seismic shift in the changing requirements for memory solutions. The massive amount of data humans generate every year is astounding and yet is expected to increase five-fold in the next few years from machine-generated data. Further compounding this growth is the emerging 5G mobile network.
As more and more data is generated, we must be able to manage and store it all, and—more importantly—have fast access to it to make real-time decisions. This is creating considerable opportunities in our industry to deliver more efficient memory technologies. These new requirements are bringing concepts like in-memory computing to the forefront of innovation.
I had the honor to moderate the Applied Materials panel session on “Memory Trends for the Next Decade” at the International Electronics Devices Meeting (IEDM) in December. The panel included Scott Gatzemeier, Micron; Jaeduk Lee, Samsung; Renu Raman, SAP; Jung Hoon Lee, SK hynix; and Manish Muthal, Xilinx, who each brought deep knowledge and a unique perspective to the discussion.
continues at semiengineering.com |
