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Waferscale Computing, Emerging Memory Systems, and Lightweight Machine Learning Systems - Puneet Gupta

2022-051 Reliable and Fault-Tolerant Clock Generation and Distribution for Chiplet-Based Waferscale Processors Researchers at UCLA have developed an on-chip fast clock which can be integrated into each chiplet. By doing this, the fast clock can be propagated from one chiplet to another. This provides consistent clock signaling to large systems as well...

Published: 7/19/2023 | Inventor(s): Puneet Gupta

Keywords(s): Artificial Intelligence, Chipset, DDR4 SDRAM, Electrical Engineering, Electronics & Semiconductors, Semiconductor, Semiconductor Device, Semiconductors, Software, Software & Algorithms

Category(s): Electrical, Electrical > Electronics & Semiconductors, Electrical > Signal Processing, Materials > Semiconducting Materials, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Electronics & Semiconductors > Memory

2021-400 COMET: On-Die and In-Controller Collaborative Memory ECC Technique for Stronger and Safer Correction of DRAM Errors

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a method titled Collaborative Memory ECC Technique (COMET), to efficiently detect two error correcting codes (ECC) and eliminate silent data corruption (SDC) when double-bit errors occur within DRAMs. Background: Technological abundance has been the...

Published: 12/11/2023 | Inventor(s): Puneet Gupta, Irina Alam

Keywords(s): Analogue Electronics, Big Data, Data Corruption, DDR3 SDRAM, DDR4 SDRAM, Random-Access Memory, Semiconductor, Semiconductor Device, Soft Error, Software

Category(s): Electrical, Electrical > Electronics & Semiconductors, Materials > Semiconducting Materials, Energy & Environment > Energy Storage