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Статті в журналах з теми "Input-aware design"
Samadi, Mehrzad, Amir Hormati, Mojtaba Mehrara, Janghaeng Lee, and Scott Mahlke. "Adaptive input-aware compilation for graphics engines." ACM SIGPLAN Notices 47, no. 6 (August 6, 2012): 13–22. http://dx.doi.org/10.1145/2345156.2254067.
Повний текст джерелаDworczak, Piotr. "Inequality and Market Design." ACM SIGecom Exchanges 22, no. 1 (June 2024): 83–92. http://dx.doi.org/10.1145/3699824.3699831.
Повний текст джерелаLing, Zhen, Melanie Borgeest, Chuta Sano, Jazmyn Fuller, Anthony Cuomo, Sirong Lin, Wei Yu, Xinwen Fu, and Wei Zhao. "Privacy Enhancing Keyboard: Design, Implementation, and Usability Testing." Wireless Communications and Mobile Computing 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/3928261.
Повний текст джерелаHu, Xiao, and Paraschos Koutris. "Topology-aware Parallel Joins." Proceedings of the ACM on Management of Data 2, no. 2 (May 10, 2024): 1–25. http://dx.doi.org/10.1145/3651598.
Повний текст джерелаDuy Nhat Vien, Nguyen. "MMSE Beamforming Design for IoT MIMO SWIPT System." Journal of Science and Technology: Issue on Information and Communications Technology 4, no. 1 (September 30, 2018): 28. http://dx.doi.org/10.31130/jst.2018.69.
Повний текст джерелаMcGeorge, Nicolette M., Susan Latiff, Christopher Muller, Lucas Dong, Ceara Chewning, Daniela Friedson-Trujillo, and Stephanie Kane. "Design and Development of a Prototype Heads-Up Display: Supporting Context-Aware, Semi-Automated, Hands-Free Medical Documentation." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 10, no. 1 (June 2021): 18–22. http://dx.doi.org/10.1177/2327857921101066.
Повний текст джерелаKhanfir, Leïla, and Jaouhar Mouïne. "Systematic Hysteresis Analysis for Dynamic Comparators." Journal of Circuits, Systems and Computers 28, no. 06 (June 12, 2019): 1950100. http://dx.doi.org/10.1142/s0218126619501007.
Повний текст джерелаPeng, Jinlong, Zekun Luo, Liang Liu, and Boshen Zhang. "FRIH: Fine-Grained Region-Aware Image Harmonization." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 5 (March 24, 2024): 4478–86. http://dx.doi.org/10.1609/aaai.v38i5.28246.
Повний текст джерелаWang, Qi, Yiming Ouyang, Zhengfeng Huang, and Huaguo Liang. "Workload-Aware WiNoC Design with Intelligent Reconfigurable Wireless Interface." Security and Communication Networks 2023 (May 9, 2023): 1–14. http://dx.doi.org/10.1155/2023/9519044.
Повний текст джерелаTrevithick, Alex, Matthew Chan, Michael Stengel, Eric Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, and Koki Nagano. "Real-Time Radiance Fields for Single-Image Portrait View Synthesis." ACM Transactions on Graphics 42, no. 4 (July 26, 2023): 1–15. http://dx.doi.org/10.1145/3592460.
Повний текст джерелаДисертації з теми "Input-aware design"
Piri, Ali. "Design space exploration for accuracy-aware computing." Electronic Thesis or Diss., Ecully, Ecole centrale de Lyon, 2024. http://www.theses.fr/2024ECDL0052.
Повний текст джерелаThe increasing complexity of large-scale applications, such as scientific computing and data analytics, has driven growing demands for computational resources. Traditional methods are becoming insufficient to handle the surging data volume. This thesis addresses the gap between data growth and processor advancements by introducing strategies for improving computational efficiency without sacrificing performance. A key focus is Approximate Computing (AxC), which leverages the inherent error tolerance in many applications—such as multimedia processing and machine learning—to balance performance with acceptable error levels. We conducted a comprehensive review of circuit-level functional approximations in various multipliers, aiming to deepen our understanding of the techniques used. We also discussed key accuracy metrics for evaluating the performance and reliability of these operators at the application and system levels. In addition, we reviewed automatic methods from the literature that support the broader adoption of approximate circuits, highlighting the need for a systematic approach to their design. The key contribution of the thesis is the introduction of input-aware approximate computing, which advances the design of efficient systems by optimizing performance and energy consumption while maintaining acceptable accuracy. The goal was to develop methods that are broadly applicable but specifically optimized for certain workloads. Initially, manual identification of circuit sections for approximation highlighted scalability challenges and the need for specialized expertise. To address this, an automated design approach was implemented, optimizing circuits based on specific input distributions. Tested with the FIT filter, this approach consistently improved accuracy and energy efficiency compared to traditional methods. Input-aware approximation is especially valuable for applications with predictable input patterns, such as embedded systems, machine learning inference, and real-time signal processing. This thesis also explores the relationship between approximate computing and the resilience of deep neural networks (DNNs), which are crucial in many applications. It analyzes how DNNs, especially those implemented on custom systolic arrays, respond to faults from approximate multipliers, using a Fault Injector Framework for efficient simulation. The study found that while DNNs are inherently fault-tolerant, approximations can significantly impact accuracy. A per-bit analysis revealed that critical bits, like the most significant bit (MSB), are particularly affected. Additionally, the trade-off between energy efficiency and resilience was highlighted, showing that energy savings from approximate computing must be balanced with the potential for performance degradation
Liu, Shu-Min, and 劉淑敏. "Ordered Input-Output and Memory-Aware FFT Architecture Design." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/91673403832413881548.
Повний текст джерела國立臺灣大學
電子工程學研究所
97
Fast Fourier transform (FFT) processors have been widely used in image processing as well as in communication systems. Up to date, many researches about FFT are being carried on and unceasingly got published every year. It signifies that the demand on how to improve the computation speed never stop. Also, trade-off between the performance and hardware resources of an FFT design becomes an important issue. A typical FFT operation transforms an in-order input sequence into an output sequence in bit reverse order, which is not suitable to use in some application like orthogonal frequency division multiplexing (OFDM). This work proposed a novel memory-based FFT architecture which has the property that both inputs and outputs are addressed in natural order without a bit-reversed electric circuit. It is very suitable for those systems where the continuous data sequences that call for the FFT processing enter and exit from the system sample by sample sequentially.
Частини книг з теми "Input-aware design"
Ahlrichs, Claas, Hendrik Iben, and Michael Lawo. "Context-Aware Mobile and Wearable Device Interfaces." In Recent Advances in Ambient Intelligence and Context-Aware Computing, 308–21. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7284-0.ch019.
Повний текст джерелаAhlrichs, Claas, Hendrik Iben, and Michael Lawo. "Context-Aware Mobile and Wearable Device Interfaces." In Wearable Technologies, 429–43. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5484-4.ch020.
Повний текст джерелаZengin, Buğra, and Işıl Günseli Kaçar. "Google Search Applications in Foreign Language Classes at Tertiary Level." In Advances in Educational Technologies and Instructional Design, 313–56. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8499-7.ch013.
Повний текст джерелаPierno, Stefania, Massimo Magaldi, Gian Luca Supino, Luca Bevilacqua, Vladimiro Scotto di Carlo, Roberto Russo, and Luigi Romano. "Providing Mobile Multimodal Social Services Using a Grid Architecture." In Social Computing, 2005–22. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-984-7.ch132.
Повний текст джерелаWang, Haonan, and Ang Li. "Spatial Multiplexing for MIMO/Massive MIMO." In MIMO Communications - Fundamental Theory, Propagation Channels, and Antenna Systems [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112041.
Повний текст джерелаSousa, João Pedro, Bradley Schmerl, Peter Steenkiste, and David Garlan. "Activity-Oriented Computing." In Software Applications, 3215–41. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-060-8.ch186.
Повний текст джерелаMoses, Richard Onchaga. "Enabling Quality of Geospatial Web Services." In Advances in Geospatial Technologies, 36–63. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-192-8.ch003.
Повний текст джерелаLiu, Yunzhu, and Lei Wu. "Attention-Aware Deep Feature Embedding for Chinese Painting Image Classification." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230998.
Повний текст джерелаAl Ghanim, Mansour, Muhammad Santriaji, Qian Lou, and Yan Solihin. "TrojBits: A Hardware Aware Inference-Time Attack on Transformer-Based Language Models." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230254.
Повний текст джерелаHuang, Wei-Chih, and William J. Knottenbelt. "Low-Overhead Development of Scalable Resource-Efficient Software Systems." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 81–105. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6026-7.ch005.
Повний текст джерелаТези доповідей конференцій з теми "Input-aware design"
Singireddy, Suraj, Muhammad Rashedul Haq Rashed, Sven Thijssen, Rickard Ewetz, and Sumit K. Jha. "Input-Aware Flow-Based In-Memory Computing." In 2023 IEEE 41st International Conference on Computer Design (ICCD). IEEE, 2023. http://dx.doi.org/10.1109/iccd58817.2023.00086.
Повний текст джерелаMoitra, Abhishek, Abhiroop Bhattacharjee, and Priyadarshini Panda. "PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference." In DAC '24: 61st ACM/IEEE Design Automation Conference, 1–6. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3649329.3655679.
Повний текст джерелаBao Liu and Lu Wang. "Input-aware statistical timing analysis-based delay test pattern generation." In 2013 14th International Symposium on Quality Electronic Design (ISQED 2013). IEEE, 2013. http://dx.doi.org/10.1109/isqed.2013.6523651.
Повний текст джерелаTsai, Shihheng, and Chung-Yang (Ric) Huang. "A false-path aware formal static timing analyzer considering simultaneous input transitions." In the 46th Annual Design Automation Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1629911.1629921.
Повний текст джерелаLi, Yuhang, Abhishek Moitra, Tamar Geller, and Priyadarshini Panda. "Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing." In 2023 60th ACM/IEEE Design Automation Conference (DAC). IEEE, 2023. http://dx.doi.org/10.1109/dac56929.2023.10247869.
Повний текст джерелаWang, Yu, Hong Luo, Ku He, Rong Luo, Huazhong Yang, and Yuan Xie. "Temperature-aware NBTI modeling and the impact of input vector control on performance degradation." In Design, Automation & Test in Europe Conference. IEEE, 2007. http://dx.doi.org/10.1109/date.2007.364650.
Повний текст джерелаLiu, Bao. "Input-aware statistical timing analysis for VLSI delay test and average design." In 2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2014. http://dx.doi.org/10.1109/mwscas.2014.6908587.
Повний текст джерелаGao, Yujie, Yuan He, Xiaohan Yue, Haiyan Jiang, and Xibo Wang. "Traffic-Aware Energy-Efficient Hybrid Input Buffer Design for On-Chip Routers." In 2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). IEEE, 2022. http://dx.doi.org/10.1109/mcsoc57363.2022.10023992.
Повний текст джерелаJha, Chandan Kumar, Sallar Ahmadi-Pour, and Rolf Drechsler. "Input Distribution Aware Library of Approximate Adders Based on Memristor-Aided Logic." In 2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID). IEEE, 2024. http://dx.doi.org/10.1109/vlsid60093.2024.00102.
Повний текст джерелаDing, Yuhao, Farshad Harirchi, Sze Zheng Yong, Emil Jacobsen, and Necmiye Ozay. "Optimal Input Design for Affine Model Discrimination with Applications in Intention-Aware Vehicles." In 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS). IEEE, 2018. http://dx.doi.org/10.1109/iccps.2018.00036.
Повний текст джерелаЗвіти організацій з теми "Input-aware design"
Schijman, Agustina, Yuri Soares, Ronald Myers, and Chloe Fevre. IDB-9: Review of the IDB Institutions for Growth and Social Welfare Strategy. Inter-American Development Bank, March 2013. http://dx.doi.org/10.18235/0010527.
Повний текст джерела