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Flash memory is a non-volatile computer memory comprised of blocks of cells, wherein each cell is implemented as either NAND or NOR floating gate. NAND flash is currently the most widely used type of flash memory. In a NAND flash memory,…

Information Theory · Computer Science 2009-11-23 Anxiao , Jiang , Robert Mateescu , Eitan Yaakobi , Jehoshua Bruck , Paul H. Siegel , Alexander Vardy , Jack K. Wolf

Memory-based self-evolution has emerged as a promising paradigm for coding agents. However, existing approaches typically restrict memory utilization to homogeneous task domains, failing to leverage the shared infrastructural foundations,…

Artificial Intelligence · Computer Science 2026-04-16 Kangsan Kim , Minki Kang , Taeil Kim , Yanlai Yang , Mengye Ren , Sung Ju Hwang

Reuse has been proposed as a microarchitecture-level mechanism to reduce the amount of executed instructions, collapsing dependencies and freeing resources for other instructions. Previous works have used reuse domains such as memory…

Hardware Architecture · Computer Science 2017-11-20 Andrey M. Coppieters , Sheila de Oliveira , Felipe M. G. França , Maurício L. Pilla , Amarildo T. da Costa

Network switches and routers need to serve packet writes and reads at rates that challenge the most advanced memory technologies. As a result, scaling the switching rates is commonly done by parallelizing the packet I/Os using multiple…

Networking and Internet Architecture · Computer Science 2016-05-17 Rami Cohen , Yuval Cassuto

Storage and retrieval of data in a computer memory plays a major role in system performance. Traditionally, computer memory organization is static - i.e., they do not change based on the application-specific characteristics in memory access…

Artificial Intelligence · Computer Science 2021-01-11 Prabuddha Chakraborty , Swarup Bhunia

Magnetic skyrmions are promising candidates for logic-in-memory applications, intrinsically merging high density non-volatile data storage with computing capabilities, owing to their nanoscale size, fast motion, and mutual repulsions.…

Mesoscale and Nanoscale Physics · Physics 2022-09-07 Naveen Sisodia , Johan Pelloux-Prayer , Liliana D. Buda-Prejbeanu , Lorena Anghel , Gilles Gaudin , Olivier Boulle

In order to achieve fault tolerance, highly reliable system often require the ability to detect errors as soon as they occur and prevent the speared of erroneous information throughout the system. Thus, the need for codes capable of…

Information Theory · Computer Science 2010-02-08 Muzhir Al-Ani , Qeethara Al-Shayea

Erasure coding techniques are getting integrated in networked distributed storage systems as a way to provide fault-tolerance at the cost of less storage overhead than traditional replication. Redundancy is maintained over time through…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-06-12 Lluis Pamies-Juarez , Frédérique Oggier , Anwitaman Datta

Flexibility at hardware level is the main driving force behind adaptive systems whose aim is to realise microarhitecture deconfiguration 'online'. This feature allows the software/hardware stack to tolerate drastic changes of the workload…

Hardware Architecture · Computer Science 2016-12-28 Ana Lava , Mahdi Jelodari Mamaghani , Siamak Mohammadi , Steve Furber

Much of the information the brain processes and stores is temporal in nature - a spoken word or a handwritten signature, for example, is defined by how it unfolds in time. However, it remains unclear how neural circuits encode complex…

Neurons and Cognition · Quantitative Biology 2017-08-15 Vishwa Goudar , Dean Buonomano

Training on the Edge enables neural networks to learn continuously from new data after deployment on memory-constrained edge devices. Previous work is mostly concerned with reducing the number of model parameters which is only beneficial…

Machine Learning · Computer Science 2021-11-01 Abdelrahman Hosny , Marina Neseem , Sherief Reda

Recently, flash memories have become a competitive solution for mass storage. The flash memories have rather different properties compared with the rotary hard drives. That is, the writing of flash memories is constrained, and flash…

Information Theory · Computer Science 2016-11-17 Xudong Ma

Constrained codes are used to prevent errors from occurring in various data storage and data transmission systems. They can help in increasing the storage density of magnetic storage devices, in managing the lifetime of electronic storage…

Information Theory · Computer Science 2022-09-07 Ahmed Hareedy , Beyza Dabak , Robert Calderbank

DNA-based data storage systems face practical challenges due to the high cost of DNA synthesis. A strategy to address the problem entails encoding data via topological modifications of the DNA sugar-phosphate backbone. The DNA Punchcards…

Emerging Technologies · Computer Science 2025-05-07 Jin Sima , Chao Pan , S. Kasra Tabatabaei , Alvaro G. Hernandez , Charles M. Schroeder , Olgica Milenkovic

Efficient continual learning in humans is enabled by a rich set of neurophysiological mechanisms and interactions between multiple memory systems. The brain efficiently encodes information in non-overlapping sparse codes, which facilitates…

Neural and Evolutionary Computing · Computer Science 2023-01-13 Fahad Sarfraz , Elahe Arani , Bahram Zonooz

Search is a key service within constraint programming systems, and it demands the restoration of previously accessed states during the exploration of a search tree. Restoration proceeds either bottom-up within the tree to roll back…

Programming Languages · Computer Science 2016-02-05 Yong Lin , Martin Henz

Practical storage systems often adopt erasure codes to tolerate device failures and sector failures, both of which are prevalent in the field. However, traditional erasure codes employ device-level redundancy to protect against sector…

Information Theory · Computer Science 2014-06-24 Mingqiang Li , Patrick P. C. Lee

A determinacy race occurs if two or more logically parallel instructions access the same memory location and at least one of them tries to modify its content. Races often lead to nondeterministic and incorrect program behavior. A data race…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-22 Rathish Das , Shih-Yu Tsai , Sharmila Duppala , Jayson Lynch , Esther M. Arkin , Rezaul Chowdhury , Joseph S. B. Mitchell , Steven Skiena

We consider rank modulation codes for flash memories that allow for handling arbitrary charge-drop errors. Unlike classical rank modulation codes used for correcting errors that manifest themselves as swaps of two adjacently ranked…

Information Theory · Computer Science 2013-04-23 Farzad Farnoud , Vitaly Skachek , Olgica Milenkovic

For decades, memory capabilities have scaled up much slower than compute capabilities, leaving memory utilization as a major bottleneck. Prefetching and cache hierarchies mitigate this in applications with easily predictable memory accesses…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-02 Dawson Fox , Jose Monsalve Diaz , Xiaoming Li