A case for transparent reliability in DRAM systems
Today's systems have diverse needs that are difficult to address using one-size-fits-all
commodity DRAM. Unfortunately, although system designers can theoretically adapt …
commodity DRAM. Unfortunately, although system designers can theoretically adapt …
A case for self-managing DRAM chips: Improving performance, efficiency, reliability, and security via autonomous in-DRAM maintenance operations
The memory controller is in charge of managing DRAM maintenance operations (eg,
refresh, RowHammer protection, memory scrubbing) in current DRAM chips. Implementing …
refresh, RowHammer protection, memory scrubbing) in current DRAM chips. Implementing …
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System
Training machine learning (ML) algorithms is a computationally intensive process, which is
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
Aging-aware request scheduling for non-volatile main memory
Modern computing systems are embracing non-volatile memory (NVM) to implement high-
capacity and low-cost main memory. Elevated operating voltages of NVM accelerate the …
capacity and low-cost main memory. Elevated operating voltages of NVM accelerate the …
Intelligent architectures for intelligent computing systems
O Mutlu - 2021 Design, Automation & Test in Europe …, 2021 - ieeexplore.ieee.org
Computing is bottlenecked by data. Large amounts of application data overwhelm storage
capability, communication capability, and computation capability of the modern machines …
capability, communication capability, and computation capability of the modern machines …
True random number generation using latency variations of FRAM
True random number generation (TRNG) plays an important role in security applications and
protocols. In this article, we propose an effective technique to generate a robust true random …
protocols. In this article, we propose an effective technique to generate a robust true random …
Machine learning training on a real processing-in-memory system
Machine learning (ML) algorithms [1]–[6] have become ubiquitous in many fields of science
and technology due to their ability to learn from and improve with experience with minimal …
and technology due to their ability to learn from and improve with experience with minimal …
ALP: Alleviating CPU-memory data movement overheads in memory-centric systems
Partitioning applications between near-data processing (NDP) and host CPU cores causes
inter-segment data movement overhead, which is caused by moving data generated by one …
inter-segment data movement overhead, which is caused by moving data generated by one …
Hybrid CMOS-RRAM true random number generator exploiting coupled entropy sources
Compact and reliable ON-chip true random number generators (TRNGs) are inevitable for
generating secure cryptographic keys in resource constrained mobile Internet-of-Things …
generating secure cryptographic keys in resource constrained mobile Internet-of-Things …
Practical true random number generator using CMOS image sensor dark noise
We present a true random number generator (TRNG) using dark noise of a CMOS image
sensor. Because the proposed TRNG is based on the dark characteristics of the CMOS …
sensor. Because the proposed TRNG is based on the dark characteristics of the CMOS …