Efficient Neuromorphic AI Chip: “NeuroRRAM”


New technical paper titled "A compute-in-memory chip based on resistive random-access memory" was published by a team of international researchers at Stanford, UCSD, University of Pittsburgh, University of Notre Dame and Tsinghua University. The paper's abstract states "by co-optimizing across all hierarchies of the design from algorithms and architecture to circuits and devices, we present ... » read more

Techniques For Improving Energy Efficiency of Training/Inference for NLP Applications, Including Power Capping & Energy-Aware Scheduling


This new technical paper titled "Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models" is from researchers at MIT and Northeastern University. Abstract: "The energy requirements of current natural language processing models continue to grow at a rapid, unsustainable pace. Recent works highlighting this problem conclude there is an urgent need ... » read more

AI Power Consumption Exploding


Machine learning is on track to consume all the energy being supplied, a model that is costly, inefficient, and unsustainable. To a large extent, this is because the field is new, exciting, and rapidly growing. It is being designed to break new ground in terms of accuracy or capability. Today, that means bigger models and larger training sets, which require exponential increases in processin... » read more

Deep Reinforcement Learning to Dynamically Configure NoC Resources


New research paper titled "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems" from Md Farhadur Reza at Eastern Illinois University. Find the open access technical paper here. Published June 2022. M. F. Reza, "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energ... » read more

Co-Packaged Optics In The Data Center


Just because faster Ethernet is added to the data center doesn’t mean existing hardware can utilize it efficiently. Scott Durrant, strategic marketing manager at Synopsys, talks with Semiconductor Engineering about the rapid rollout of faster Ethernet rates, problems in moving data to the front module of the switch and how much energy is required, and what optical technology can bring to the ... » read more

A Holistic Approach To Energy-Efficient System-On-Chip (SoC) Design


It takes a great deal of energy to power the modern world, and demand grows every day. This is especially true for electronics, where ever increasing automation and more intelligent devices incessantly demand more power. Many applications that use chips face a variety of pressures for reduced power consumption and better energy efficiency. In response, the semiconductor and electronic design au... » read more

Electronics And Sustainability: Can Smart Engineering Save The Planet?


We just celebrated Earth Day 2022 with great fanfare. In discussions with my favorite Gen Z family member, I sense genuine concerns that sustainability goals seem like a tall order. Let’s review the contributions the electronics industry can make to sustainability. First, defining sustainability seems to lead to three main pillars—environmental, social, and economic sustainability. I fou... » read more

DarkGates: A Hybrid Power-Gating Architecture to Mitigate the Performance Impact of Dark-Silicon in High Performance Processors


New research paper from ETH Zurich and others. Abstract "To reduce the leakage power of inactive (dark) silicon components, modern processor systems shut-off these components' power supply using low-leakage transistors, called power-gates. Unfortunately, power-gates increase the system's power-delivery impedance and voltage guardband, limiting the system's maximum attainable voltage (i.e., ... » read more

Antiferroelectric negative capacitance from a structural phase transition in zirconia


New research paper from 24-person research team from Berkeley, Georgia Tech, MIT, and other institutions. Abstract "Crystalline materials with broken inversion symmetry can exhibit a spontaneous electric polarization, which originates from a microscopic electric dipole moment. Long-range polar or anti-polar order of such permanent dipoles gives rise to ferroelectricity or antiferroelectrici... » read more

Moving Intelligence To The Edge


The buildout of the edge is driving a slew of new challenges and opportunities across the chip industry. Sailesh Chittipeddi, executive vice president at Renesas Electronics America, talks about the shift toward more AI-centric workloads rather than CPU-centric, why embedded computing is becoming the foundation of all intelligences, and the importance of software, security, and user experience ... » read more

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