Photonic-SRAM Bitcell for High-Speed On-Chip Photonic Memory and Compute Systems (UW, USC, GF)


A new technical paper titled "Design of Energy-Efficient Cross-coupled Differential Photonic-SRAM (pSRAM) Bitcell for High-Speed On-Chip Photonic Memory and Compute Systems" was published by researchers at University of Wisconsin–Madison, USC and GlobalFoundries. Abstract "In this work, we propose a novel differential photonic static random access memory (pSRAM) bitcell design using fabri... » read more

Research Bits: Apr. 1


Neuro-synaptic RAM Researchers from the National University of Singapore (NUS) and King Abdullah University of Science and Technology (KAUST) found that a standard silicon transistor can function like a biological neuron and synapse when arranged and operated in a specific way. The team was able to replicate both neural firing and synaptic weight changes by adjusting the resistance of the b... » read more

High-Speed High-Capacity Mixed-Signal Simulation Of Silicon Photonics


Many of today’s computing and communications applications demand almost unimaginable processing capability and high-bandwidth access to memory. For example, many data center systems using high-end Graphics Processing Units (GPUs) often need to transfer multiple terabytes per second. Traditional copper-based interconnects, limited to speeds of hundreds of megabits per second (Mbps), cannot ... » read more

Big Changes Ahead For Interposers And Substrates


Interposers and substrates are undergoing a profound transformation from intermediaries to engineered platforms responsible for power distribution, thermal management, high-density interconnects, and signal integrity in the most advanced computing systems. This shift is being driven by AI, high-performance computing (HPC), and next-generation communications, where the need for heterogeneous ... » read more

Silicon Photonics Raises New Test Challenges


Semiconductor devices continuously experience advancements leading to technology and innovation leaps, such as we see today for applications in AI high-performance computing for data centers, edge AI devices, electric vehicles, autonomous driving, mobile phones, and others. Recent technology innovations include Angstrom-scale semiconductor processing nodes, high-bandwidth memory, advanced 2.5D/... » read more

What’s Next In Advanced Packaging?


Experts at the Table: Semiconductor Engineering sat down to discuss 3D-IC progress and issues, photonics, and tradeoffs with different interposers and bridge technologies, with Michael Kelly, vice president of Chiplets and FCBGA Integration at Amkor; William Chen, fellow at ASE; Dick Otte, CEO of Promex Industries; and Sander Roosendaal, R&D director at Synopsys Photonics Solutions. What fo... » read more

Advanced Packaging Moving At Breakneck Pace


Experts at the Table: Semiconductor Engineering sat down to discuss advances in packaging with Michael Kelly, vice president of Chiplets and FCBGA Integration at Amkor; William Chen, fellow at ASE; Dick Otte, CEO of Promex Industries; and Sander Roosendaal, R&D director at Synopsys Photonics Solutions. What follows are excerpts of that discussion. [Part 2 of the discussion is here.] ... » read more

Research Bits: Jan. 28


Optical memory unit Researchers from Nokia Bell Labs developed a new type of optical memory called a programmable photonic latch that enables temporary data storage in optical processing systems. It is modeled after a set-reset latch. The integrated programmable photonic latch is based on optical universal logic gates using silicon photonic micro-ring modulators and can be implemented in co... » read more

Research Bits: Jan. 7


Deep UV microLED for maskless lithography Researchers from the Hong Kong University of Science and Technology, Southern University of Science and Technology, and the Suzhou Institute of Nanotechnology developed an aluminum gallium nitride deep-ultraviolet microLED display array for maskless lithography.  They also built a maskless lithography prototype platform. "The team achieved key brea... » read more

Research Bits: Dec. 11


Photonic AI processor Researchers from Massachusetts Institute of Technology (MIT), Enosemi, and Periplous developed a fully integrated photonic processor that can perform all the key computations of a deep neural network optically on the chip. The chip is fabricated using commercial foundry processes and uses three layers of devices that perform linear and nonlinear operations. A particula... » read more

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