tag: Texas A&M University

Chip Industry’s Technical Paper Roundup: Apr. 18
By Linda Christensen - 18 Apr, 2023 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=93 /]   If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involv... » read more

Hybrid Hardware Fuzzer, Combining Capabilities of Formal Verification Methods And Fuzzing Tools
By Technical Paper Link - 11 Apr, 2023 - Comments: 0

A new technical paper titled "HyPFuzz: Formal-Assisted Processor Fuzzing" was published by researchers at Texas A&M University and Technische Universität Darmstadt. Abstract: "Recent research has shown that hardware fuzzers can effectively detect security vulnerabilities in modern processors. However, existing hardware fuzzers do not fuzz well the hard-to-reach design spaces. Consequently,... » 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

Week In Review: Design, Low Power
By Jesse Allen - 07 Apr, 2023 - Comments: 0

MLCommons debuted the latest results for the MLPerf Inference v3.0 and Mobile v3.0 benchmark suites, which measure the performance and power-efficiency of applying a trained machine learning model to new data in data center, edge, and mobile use cases. Overall, MLCommons said the results showed both power efficiency improvements and significant gains in performance in some benchmark tests. Seve... » read more

Chip Industry’s Technical Paper Roundup: Nov. 21
By Linda Christensen - 21 Nov, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=65 /] » read more

Profile-Guided HW/SW Mechanism To Efficiently Reduce Branch Mispredictions In Data Center Applications (Best Paper Award)
By Technical Paper Link - 17 Nov, 2022 - Comments: 0

A new technical paper titled "Whisper: Profile-Guided Branch Misprediction Elimination for Data Center Applications" was published by researchers at University of Michigan, ARM, University of California, Santa Cruz, and Texas A&M University. This work was awarded a best paper award at October's 2022 Institute of Electrical and Electronics Engineers (IEEE)/Association for Computing Machin... » read more

Security Research: Technical Paper Round-Up
By Linda Christensen - 16 Aug, 2022 - Comments: 0

A number of hardware security-related technical papers were presented at recent conferences, including the August 2022 USENIX Security Symposium and IEEE’s International Symposium on Hardware Oriented Security and Trust (HOST). Topics include side-channel attacks and defenses (including on-chip mesh interconnect attacks), heterogeneous attacks on cache hierarchies, rowhammer attacks and mitig... » read more

Defending Against Message Injection Attacks in Vehicles
By Technical Paper Link - 11 Aug, 2022 - Comments: 0

This technical paper titled "SAID: State-aware Defense Against Injection Attacks on In-vehicle Network" was presented by researchers at the Hong Kong Polytechnic University, Zhejiang University, and Texas A&M University at the USENIX Security Symposium in Boston in August 2022. Abstract: "Modern vehicles are equipped with many ECUs (Electronic Control Unit) that are connected to the IVN (... » read more

Efficacy of Transistor Interleaving in DICE Flip-Flops at a 22 nm FD SOI Technology Node
By Technical Paper Link - 25 Apr, 2022 - Comments: 0

New research paper from University of Saskatchewan, with funding by NSERC and the Cisco University Research Program. Abstract "Fully Depleted Silicon on Insulator (FD SOI) technology nodes provide better resistance to single event upsets than comparable bulk technologies, but upsets are still likely to occur at nano-scale feature sizes, and additional hardening techniques should be explor... » read more

Research Bits: April 19
By Jesse Allen - 19 Apr, 2022 - Comments: 0

Processor power prediction Researchers from Duke University, Arm Research, and Texas A&M University developed an AI method for predicting the power consumption of a processor, returning results more than a trillion times per second while consuming very little power itself. “This is an intensively studied problem that has traditionally relied on extra circuitry to address,” said Zhiy... » read more

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