tag: UC Berkeley

Multi-Faceted Spin Orbit Torque Phenomena in GdCo (Berkeley)
By Technical Paper Link - 09 Oct, 2024 - Comments: 0

A new technical paper titled "Tunable multistate field-free switching and ratchet effect by spin-orbit torque in canted ferrimagnetic alloy" was published by researchers at UC Berkeley and Lawrence Berkeley National Laboratory. The paper states: "Spin-orbit torque is not only a useful probe to study manipulation of magnetic textures and magnetic states at the nanoscale but also it carries g... » read more

Chip Industry Technical Paper Roundup: Oct. 8
By Linda Christensen - 08 Oct, 2024 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=365 /] More ReadingTechnical Paper Library home » read more

Review Paper: Challenges Required To Bring the Energy Consumption Down in Microelectronics (Rice, UC Berkeley, Georgia Tech, Et al.)
By Technical Paper Link - 06 Oct, 2024 - Comments: 0

A new review article titled "Roadmap on low-power electronics" by researchers at Rice University, UC Berkeley, Georgia Tech, TSMC, Intel, Harvard, et al. This roadmap to energy efficient electronics written by numerous collaborators covers materials, modeling, architectures, manufacturing, metrology and more. Find the technical paper here. September 2024. Ramamoorthy Ramesh, Sayeef Sal... » read more

Chip Industry Technical Paper Roundup: Sept. 24
By Linda Christensen - 24 Sep, 2024 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=358 /] More ReadingTechnical Paper Library home » read more

Characteristics and Potential HW Architectures for Neuro-Symbolic AI
By Technical Paper Link - 23 Sep, 2024 - Comments: 0

A new technical paper titled "Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture" was published by researchers at Georgia Tech, UC Berkeley, and IBM Research. Abstract: "The remarkable advancements in artificial intelligence (AI), primarily driven by deep neural networks, are facing challenges surrounding unsustainable computational trajectories, li... » read more

Chip Industry Technical Paper Roundup: Sept. 3
By Linda Christensen - 03 Sep, 2024 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=256 /] More ReadingTechnical Paper Library home » read more

GPU Microarchitecture Integrating Dedicated Matrix Units At The Cluster Level (UC Berkeley)
By Technical Paper Link - 27 Aug, 2024 - Comments: 0

A new technical paper titled "Virgo: Cluster-level Matrix Unit Integration in GPUs for Scalability and Energy Efficiency" was published by UC Berkeley. Abstract "Modern GPUs incorporate specialized matrix units such as Tensor Cores to accelerate GEMM operations central to deep learning workloads. However, existing matrix unit designs are tightly coupled to the SIMT core, limiting the size a... » read more

Security Technical Paper Roundup: Aug. 27
By Liz Allan - 27 Aug, 2024 - Comments: 0

A number of hardware security-related technical papers were presented at the August 2024 USENIX Security Symposium. The organization provides open access research, and the presentation slides and papers are free to the public. Topics include side-channel attacks and defenses, embedded security, fuzzing, fault injection, logic locking, Rowhammer, and more. Here are some highlights with associate... » read more

Chip Industry Technical Paper Roundup: July 30
By Linda Christensen - 30 Jul, 2024 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library, including a best paper award winner at ISCA. [table id=246 /] More ReadingTechnical Paper Library home » read more

Using Diffusion Models to Generate Chip Placements (UC Berkeley)
By Technical Paper Link - 27 Jul, 2024 - Comments: 0

A technical paper titled “Chip Placement with Diffusion” was published by researchers at UC Berkeley. Abstract: "Macro placement is a vital step in digital circuit design that defines the physical location of large collections of components, known as macros, on a 2-dimensional chip. The physical layout obtained during placement determines key performance metrics of the chip, such as power... » read more

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