Technical Paper Round-Up: July 26


New technical papers added to Semiconductor Engineering’s library this week. [table id=41 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit f... » read more

Week in Review: Design, Low Power


Acquisitions Renesas completed its acquisition of Reality Analytics, which specializes in embedded AI and TinyML solutions for advanced non-visual sensing in automotive, industrial and commercial products. Siemens Digital Industries Software will acquire Zona Technology, which develops aerospace simulation software. Siemens plans to integrate that software into its wXcelerator and Simcenter... » read more

Reduce RowHammer Vulnerability By Reducing Wordline Voltage


Researchers from ETH Zurich present a new technical paper titled "Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices." Abstract (Partial) "This is the first work to experimentally demonstrate on 272 real DRAM chips that lowering VPP reduces a DRAM chip's RowHammer vulnerability. We show that lowering VPP 1) increases the number of activat... » read more

Technical Paper Round-Up: July 18


New technical papers added to Semiconductor Engineering’s library this week. [table id=33 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit fo... » read more

DRAM Chips That Employ On-Die Error Correction & Related Reliability Techniques


This new PhD thesis paper titled "Enabling Effective Error Mitigation in Memory Chips That Use On-Die Error-Correcting Codes" from ETH Zurich researcher Minesh Patel won the IEEE  William C. Carter Award in June 2022. Abstract "Improvements in main memory storage density are primarily driven by process technology scaling, which negatively impacts reliability by exacerbating various circu... » read more

RETBLEED: New Spectre-BTI Attack (ETH Zurich)


New Spectre-BTI attack that "leaks arbitrary kernel memory." It's detailed in this research paper titled “RETBLEED: Arbitrary Speculative Code Execution with Return Instructions” from researchers at ETH Zürich. Mitigations are available. Abstract "Modern operating systems rely on software defenses against hardware attacks. These defenses are, however, as good as the assumptions they m... » read more

Effectiveness of a Reinforcement-Learning Based Dynamic Power Manager In a SW Framework


New technical paper titled "Low-Overhead Reinforcement Learning-Based Power Management Using 2QoSM" from researchers at ETH Zurich and Georgia Tech. Abstract "With the computational systems of even embedded devices becoming ever more powerful, there is a need for more effective and pro-active methods of dynamic power management. The work presented in this paper demonstrates the effectiven... » read more

Technical Paper Round-up: July 11


New technical papers added to Semiconductor Engineering’s library this week. [table id=38 /]   Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a ... » read more

ISA Extension For Low-Precision NN Training On RISC-V Cores


New technical paper titled "MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores" from researchers at IIS, ETH Zurich; DEI, University of Bologna; and Axelera AI. Abstract "Low-precision formats have recently driven major breakthroughs in neural network (NN) training and inference by reducing the memory footprint of the N... » read more

Sibyl, a lightweight, reinforcement learning-based data placement technique for hybrid storage systems (ETH Zurich)


New research paper titled "Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning" from researchers at ETH Zurich, Eindhoven University of Technology, and LIRMM, Univ. Montpellier, CNRS. Abstract "Hybrid storage systems (HSS) use multiple different storage devices to provide high and scalable storage capacity at high performance. Recent r... » read more

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