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Статті в журналах з теми "Post-Moore era"
Yang, Yuchao, and Ilia Valov. "Rebooting Computing in Post Moore Era." Advanced Intelligent Systems 4, no. 8 (August 2022): 2200161. http://dx.doi.org/10.1002/aisy.202200161.
Повний текст джерелаVetter, Jeffrey S., Erik P. DeBenedictis, and Thomas M. Conte. "Architectures for the Post-Moore Era." IEEE Micro 37, no. 4 (2017): 6–8. http://dx.doi.org/10.1109/mm.2017.3211127.
Повний текст джерелаLi, Ming. "Review of advanced CMOS technology for post-Moore era." Science China Physics, Mechanics and Astronomy 55, no. 12 (November 29, 2012): 2316–25. http://dx.doi.org/10.1007/s11433-012-4930-3.
Повний текст джерелаLI, Ming, and Ru HUANG. "Device and integration technologies for VLSI in post-Moore era." SCIENTIA SINICA Informationis 48, no. 8 (August 1, 2018): 963–77. http://dx.doi.org/10.1360/n112018-00114.
Повний текст джерелаLiu, Yi-Fan, and Zhi-Yong Zhang. "Carbon based electronic technology in post-Moore era: progress, applications and challenges." Acta Physica Sinica 71, no. 6 (2022): 068503. http://dx.doi.org/10.7498/aps.71.20212076.
Повний текст джерелаRojas Yepes, Pablo Josue. "Low Energy Consumption on Post-Moore Platforms for HPC Research." ACI Avances en Ciencias e Ingenierías 13, no. 2 (November 11, 2021): 17. http://dx.doi.org/10.18272/aci.v13i2.2108.
Повний текст джерелаSawyer, Malcolm. "Endogenous money in an era of financialization." European Journal of Economics and Economic Policies: Intervention 17, no. 3 (February 12, 2020): 356–66. http://dx.doi.org/10.4337/ejeep.2020.0057.
Повний текст джерелаWANG, Yan, and Jiaguo LU. "From active phased array antenna to antenna array microsystem in post-Moore era." SCIENTIA SINICA Informationis 50, no. 7 (July 1, 2020): 1091–109. http://dx.doi.org/10.1360/ssi-2019-0247.
Повний текст джерелаKim, Nam Sung, Deming Chen, Jinjun Xiong, and Wen-mei W. Hwu. "Heterogeneous Computing Meets Near-Memory Acceleration and High-Level Synthesis in the Post-Moore Era." IEEE Micro 37, no. 4 (2017): 10–18. http://dx.doi.org/10.1109/mm.2017.3211105.
Повний текст джерелаLeiserson, Charles E., Neil C. Thompson, Joel S. Emer, Bradley C. Kuszmaul, Butler W. Lampson, Daniel Sanchez, and Tao B. Schardl. "There’s plenty of room at the Top: What will drive computer performance after Moore’s law?" Science 368, no. 6495 (June 4, 2020): eaam9744. http://dx.doi.org/10.1126/science.aam9744.
Повний текст джерелаДисертації з теми "Post-Moore era"
Schardl, Tao Benjamin. "Performance engineering of multicore software : developing a science of fast code for the post-Moore era." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107290.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 303-328).
The end of Moore's Law, which experts predict to occur in as few as 5 years, means that even average programmers will need to be able to write fast code. Software performance engineering offers great promise to provide computer performance gains in the post-Moore era, but developing efficient software today requires substantial expertise and arcane knowledge of hardware and software systems. Multicore processors are particularly challenging to use efficiently, because doing so requires programmers to engage in parallel programming and to deal with nondeterministic program behavior and parallel scalability concerns. I contend that we can remedy the ad hoc and unprincipled nature of software performance engineering by creating simple and integrated programming technologies for writing fast code. This thesis studies how such technologies can be built by examining nine artifacts that enable principled approaches to tackling nondeterminism and scalability concerns in writing efficient multicore software. Five artifacts develop programming models and theories of performance for writing multicore programs that are efficient both in theory and in practice: - PBFS, a work-efficient parallel breadth-first search algorithm. - The Prism chromatic-scheduling algorithm, which executes dynamic data-graph computations deterministically in parallel. - Ordering heuristics for parallel greedy graph coloring algorithms. - The pedigree mechanism and DotMix algorithm for generating pseudorandom numbers deterministically in parallel in dynamic multithreaded programs. - The Cilk-P concurrency platform, which provides linguistic and runtime support for deterministic on-the-fly pipeline parallelism. Three artifacts strive to embed abstract programming and performance models into tools and compilers: - Cilkprof, a profiler that efficiently measures how each call site in a Cilk program contributes to the program's scalability. - Rader, a provably good race detector for Cilk programs that use reducer hyperobjects. - The Tapir compiler intermediate representation, which enables existing compiler optimizations for serial code to optimize across parallel control flow with minimal changes. The final artifact tackles the complexity of creating efficient diagnostic tools: - CSI, a framework that provides comprehensive static instrumentation for efficient dynamic-analysis tools. Together, these artifacts contribute to developing a more coherent science of fast code for multicores than exists today.
by Tao Benjamin Schardl.
Ph. D.
Osmond, Paul Lawrence, and 歐保羅. "Corporate foresight for the semiconductor downstream in the Post-Moore Era combining scenario analysis and TPP model: A TSMC case study." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/y38a8g.
Повний текст джерела元智大學
經營管理碩士班(國際企業學程)
107
With the area scaling of CMOS semiconductors reaching its physical limits, the entire electronics industry is facing the inevitable end of Moore’s Law. TSMC is currently one of just three semiconductor manufacturers, along with Intel and Samsung, that continue to push the physical limits at the leading edge of semiconductor technology development. At present, it is expected that TSMC will develop 1 nanometer technology around the year 2027, but beyond this time, there is great uncertainty as to the future development of semiconductor technologies and, in turn, the development of the electronic devices and emerging technologies which rely on semiconductors. Artificial intelligence (AI), the Internet of things (IoT), blockchain including cryptocurrency mining, and automotive electronics in autonomous vehicles have been identified as possible growth drivers for the semiconductor industry over the next decade. Given the technology uncertainty associated with the end of Moore’s Law and uncertainty surrounding market demand, the commercial success of these emerging technologies is uncertain. The current case study utilizes scenario analysis to develop four plausible scenarios based on the key uncertainties facing TSMC in the year 2030. These key uncertainties include; 1) the presence, or lack thereof, of a manufacturing breakthrough in semiconductor manufacturing, and 2) the strength of the market for semiconductor products. Given the resulting four scenarios, a Technology Portfolio Planning (TPP) Delphi survey was administered for each scenario in which internal and external experts to TSMC assessed the importance and risk of the identified emerging technologies in the year 2030. The findings of the study are four-fold. The first finding: Scenario 1 (Digital Utopia) which combines a strong technology market with a technological breakthrough in semiconductor manufacturing has the most Premier Approach technologies and is the best-case scenario for TSMC. On the contrary, scenario 4 (Digital Desert) lacks a semiconductor breakthrough and envisions a weak downstream market and is the worst-case scenario for TSMC. The second finding: Artificial narrow intelligence (ANI), artificial general intelligence (AGI), collaborative-aware Internet of things (IoT), and public blockchain are reliant on a technology breakthrough to achieve their full market potential. Identity-related IoT and Ubiquitous IoT including smart city applications rely on a strong market for widespread adoption. Information-aggregation IoT and automotive electronics are both technology-driven and market-driven and will require a technology breakthrough and a strong market to achieve their greatest potential. The third finding: Automotive electronics have the highest average importance across the four scenarios and ANI provides the lowest level of risk among the emerging technologies analyzed. The fourth finding: A modified TPP model which integrates equilibrium lines in the original TPP model can describe investment group projects in a more detailed manner and is better at identifying managerial implications between various strategic investment opportunities. Finally, based on the results of the analysis, TSMC and other players in the ICT industry can be better prepared to deal with uncertain, but plausible future scenarios in the Post-Moore Era.
Книги з теми "Post-Moore era"
Kennedy, Róisín. Art and the Nation State. Liverpool University Press, 2021. http://dx.doi.org/10.3828/liverpool/9781789622355.001.0001.
Повний текст джерелаЧастини книг з теми "Post-Moore era"
Falsafi, Babak. "Warehouse-Scale Computing in the Post-Moore Era." In Algorithmic Aspects of Cloud Computing, 3–7. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74875-7_1.
Повний текст джерелаDai, Yi, Kai Lu, Junsheng Chang, Xingyun Qi, Jijun Cao, and Jianmin Zhang. "Microarchitecture of a Configurable High-Radix Router for the Post-Moore Era." In Lecture Notes in Computer Science, 3–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78713-4_1.
Повний текст джерелаGaine, Vincent M. "‘Not now that strength’: Embodiment and Globalisation in Post-9/11 James Bond." In American Cinema in the Shadow of 9/11. Edinburgh University Press, 2016. http://dx.doi.org/10.3366/edinburgh/9781474413817.003.0007.
Повний текст джерелаKennedy, Róisín. "Promotion." In Art and the Nation State, 125–64. Liverpool University Press, 2021. http://dx.doi.org/10.3828/liverpool/9781789622355.003.0004.
Повний текст джерелаHines, Claire. "The bond beyond." In The playboy and James Bond, 159–98. Manchester University Press, 2018. http://dx.doi.org/10.7228/manchester/9780719082269.003.0007.
Повний текст джерелаNg, Celeste See-pui. "Enterprise Resource Planning (ERP) Maintenance Metrics for Management." In Information Resources Management, 538–44. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-965-1.ch303.
Повний текст джерелаТези доповідей конференцій з теми "Post-Moore era"
Sun, Shuai, Vikram K. Narayana, Armin Mehrabian, Ruoyu Zhang, Tarek El-Ghazawi, and Volker J. Sorger. "Holistic Performance-Cost Metric for Post Moore Era." In Frontiers in Optics. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/fio.2017.jtu2a.24.
Повний текст джерелаYeric, Greg. "Design, technology and yield in the post-moore era." In 2014 IEEE International Test Conference (ITC). IEEE, 2014. http://dx.doi.org/10.1109/test.2014.7035310.
Повний текст джерелаDe Maio, Vincenzo, Atakan Aral, and Ivona Brandic. "A Roadmap To Post-Moore Era for Distributed Systems." In PODC '22: ACM Symposium on Principles of Distributed Computing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3524053.3542747.
Повний текст джерелаMatsuoka, Satoshi. "Cambrian explosion of computing and big data in the post-moore era." In HPDC '18: The 27th International Symposium on High-Performance Parallel and Distributed Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3208040.3225055.
Повний текст джерелаHayashi, Yoshihiro. "Harmonie innovatios in semiconductor devices and computer architectures toward post “Moore-era”." In 2017 Silicon Nanoelectronics Workshop (SNW). IEEE, 2017. http://dx.doi.org/10.23919/snw.2017.8242327.
Повний текст джерелаHa, Yajun. "Energy Efficient Edge Computing for Smart Applications in the Post-Moore Era." In 2022 IEEE 16th International Conference on Anti-counterfeiting, Security, and Identification (ASID). IEEE, 2022. http://dx.doi.org/10.1109/asid56930.2022.9995806.
Повний текст джерелаNosaka, Hideyuki. "Keynote speech 2: Terahertz electronics and performance enhancement towards the Post-Moore Era." In 2017 10th Global Symposium on Millimeter-Waves (GSMM). IEEE, 2017. http://dx.doi.org/10.1109/gsmm.2017.7970288.
Повний текст джерелаTakano, Ryousei, and Tomohiro Kudoh. "Flow-centric computing leveraged by photonic circuit switching for the post-moore era." In 2016 Tenth IEEE/ACM International Symposium on Networks-on-Chip (NOCS). IEEE, 2016. http://dx.doi.org/10.1109/nocs.2016.7579339.
Повний текст джерелаBolsens, Ivo. "Scalable System and Silicon Architectures to Handle the Workloads of the Post-Moore Era." In ISPD '20: International Symposium on Physical Design. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3372780.3378166.
Повний текст джерелаBolsens, Ivo. "Scalable System and Silicon Architectures to Handle the Workloads of the Post-Moore Era." In ISPD '21: International Symposium on Physical Design. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3439706.3446894.
Повний текст джерела