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ACM Journal on Emerging Technologies in Computing Systems is a peer-reviewed journal published by ACM, covering Advanced Memory and Neural Computing, Semiconductor materials and devices, Ferroelectric and Negative Capacitance Devices. Over its lifetime it has published 775 papers, which have received 14,294 citations.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM Journal on Emerging Technologies in Computing Systems 12, 3, Article 45 (2023).
Formats any DOI in ACM Journal on Emerging Technologies in Computing Systems style. No sign-up. |
| Publishes research in | Advanced Memory and Neural Computing Semiconductor materials and devices Ferroelectric and Negative Capacitance Devices Advancements in Semiconductor Devices and Circuit Design Low-power high-performance VLSI design |
| ISSN | 1550-4832 |
| Citation impact (2-yr) | 1.52 |
| h-index | 57 |
| i10-index | 324 |
| Top institutions publishing here | Duke University |
| Journal website | www.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Real-time application of deep learning algorithms is often hindered by high computational complexity and frequent memory accesses. Network pruning is a promising technique to solve this problem. However, pruning usually results in irregular network connections that not only demand extra representation efforts but also do not fit well on parallel computation. We introduce structured sparsity…
Spin-transfer torque magnetic random access memory (STT-MRAM) is a novel, magnetic memory technology that leverages the base platform established by an existing 100+nm node memory product called MRAM to enable a scalable nonvolatile memory solution for advanced process nodes. STT-MRAM features fast read and write times, small cell sizes of 6F 2 and potentially even…
As technology scales, interconnects have become a major performance bottleneck and a major source of power consumption for microprocessors. Increasing interconnect costs make it necessary to consider alternate ways of building modern microprocessors. One promising option is 3D architectures where a stack of multiple device layers with direct vertical tunneling through them are put together…
Often as the most important arithmetic modules in a processor, adders, multipliers, and dividers determine the performance and energy efficiency of many computing tasks. The demand of higher speed and power efficiency, as well as the feature of error resilience in many applications (e.g., multimedia, recognition, and data analytics), have driven the development of approximate…
Chemists can now construct wires which are just a few atoms in diameter; these wires can be selectively field-effect gated, and wire crossings can act as diodes with programmable resistance. These new capabilities present both opportunities and challenges for constructing nanoscale computing systems. The tiny feature sizes offer a path to economically scale down to…
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