tag: Tsinghua University

Research Bits: April 23
By Jesse Allen - 23 Apr, 2024 - Comments: 0

Probabilistic computer prototype Researchers at Tohoku University and the University of California Santa Barbara created a prototype of a heterogeneous probabilistic computer that combines a CMOS circuit with a limited number of stochastic nanomagnets. It aims to improve the execution of probabilistic algorithms used to solve problems where uncertainty is inherent or where an exact solution... » read more

3D Integration Supports CIM Versatility And Accuracy
By Katherine Derbyshire - 18 Jan, 2024 - Comments: 0

Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it's not perfect. CIM modules can help reduce the cost of computation for AI workloads, and they can learn from the highly efficient approaches taken by biological brains. When it comes to versatility, scalability, and accuracy, however, significant tradeoffs are requir... » read more

Chip Industry Technical Paper Roundup: Jan. 16
By Liz Allan - 16 Jan, 2024 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=188 /] More ReadingTechnical Paper Library home » read more

The 40-Million-Core Sunway Supercomputer: 5 ExaFlop/s HPL-MxP Benchmark With Linear Scalability
By Technical Paper Link - 11 Jan, 2024 - Comments: 0

A technical paper titled “5 ExaFlop/s HPL-MxP Benchmark with Linear Scalability on the 40-Million-Core Sunway Supercomputer” was published by researchers at the National Research Center of Parallel Computer Engineering and Technology and Tsinghua University. Abstract: "HPL-MxP is an emerging high performance benchmark used to measure the mixed-precision computing capability of leading sup... » read more

Chip Industry Technical Paper Roundup: Dec 18
By Linda Christensen - 18 Dec, 2023 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=176 /] More ReadingTechnical Paper Library home » read more

Chip Industry Week In Review
By The SE Staff - 15 Dec, 2023 - Comments: 0

By Jesse Allen, Gregory Haley, and Liz Allan Synopsys acquired Imperas, pushing further into the RISC-V world with Imperas' virtual platform technology for verifying and emulating processors. Synopsys has been building up its RISC-V portfolio, starting with ARC-V processor IP and a full suite of tools introduced last month. The first high-NA EUV R&D center in the U.S. will be built at... » read more

Hardware-Based Methodology To Protect AI Accelerators
By Technical Paper Link - 13 Dec, 2023 - Comments: 0

A technical paper titled “A Unified Hardware-based Threat Detector for AI Accelerators” was published by researchers at Nanyang Technological University and Tsinghua University. Abstract: "The proliferation of AI technology gives rise to a variety of security threats, which significantly compromise the confidentiality and integrity of AI models and applications. Existing software-based so... » read more

Research Bits: September 5
By Jesse Allen - 05 Sep, 2023 - Comments: 0

Layered TMD semiconductors Scientists from Tsinghua University investigated fabrication techniques for fabricating and engineering transition metal dichalcogenides (TMDs). By modulating TMDs with various methods, including phase engineering, defect engineering, doping, and alloying, the material class could provide a wide range of alternatives for high-quality layered semiconductors with st... » read more

Research Bits: April 10
By Jesse Allen - 10 Apr, 2023 - Comments: 0

Meminductor identified Researchers at Texas A&M University identified the meminductor circuit unit. Similar to the memristor and the memcapacitor, a meminductor has a memory-like nature where its properties are dependent on previous values. The resistor, capacitor, and inductor comprise the three classical circuit elements. The memristor and the memcapacitor, while earlier theorized, ha... » read more

Research Bits: Oct. 18
By Jesse Allen - 18 Oct, 2022 - Comments: 0

Modular AI chip Engineers at the Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, Lawrence Berkeley National Laboratory, Korea Institute of Science and Technology, and Tsinghua University created a modular approach to building stackable, reconfigurable AI chips. The design comprises alternating layers of sensing and processing elements, along with LEDs t... » read more

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