Výsledky vyhledávání - parallel computing (programs OR progress)

Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges Autor Ulukus, Sennur, Avestimehr, Salman, Gastpar, Michael, Jafar, Syed A., Tandon, Ravi, Tian, Chao

“… (privacy in information retrieval), how to privately leverage large-scale distributed/parallel processing…”
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Parallel distributed computing using Python Autor Dalcin, Lisandro D., Paz, Rodrigo R., Kler, Pablo A., Cosimo, Alejandro

“…► We present two packages for parallel distributed computing with Python. ► MPI for Python (mpi4py) provides bindings for the MPI standard…”
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Parallel Computing Experiences with CUDA Autor Garland, M., Le Grand, S., Nickolls, J., Anderson, J., Hardwick, J., Morton, S., Phillips, E., Yao Zhang, Volkov, V.

“…The CUDA programming model provides a straightforward means of describing inherently parallel computations, and NVIDIA's Tesla GPU architecture delivers high computational throughput on massively parallel problems…”
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CUDA programming : a developer's guide to parallel computing with GPUs Autor Cook, Shane

“…If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming…”
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Heterogeneous computing with OpenCL Autor Gaster, Benedict, Howes, Lee, Kaeli, David R., Mistry, Perhaad, Schaa, Dana

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The TOP500 List and Progress in High-Performance Computing Autor Strohmaier, Erich, Meuer, Hans W., Dongarra, Jack, Simon, Horst D.

“…Reports on high-performance computing…”
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24.1 A 1Mb Multibit ReRAM Computing-In-Memory Macro with 14.6ns Parallel MAC Computing Time for CNN Based AI Edge Processors Autor Xue, Cheng-Xin, Chen, Wei-Hao, Liu, Je-Syu, Li, Jia-Fang, Lin, Wei-Yu, Lin, Wei-En, Wang, Jing-Hong, Wei, Wei-Chen, Chang, Ting-Wei, Chang, Tung-Cheng, Huang, Tsung-Yuan, Kao, Hui-Yao, Wei, Shih-Ying, Chiu, Yen-Cheng, Lee, Chun-Ying, Lo, Chung-Chuan, King, Ya-Chin, Lin, Chorng-Jung, Liu, Ren-Shuo, Hsieh, Chih-Cheng, Tang, Kea-Tiong, Chang, Meng-Fan

“…Embedded nonvolatile memory (NVM) and computing-in-memory (CIM) are significantly reducing the latency (t MAC…”
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Adaptive Task-Based Intermittent Computing System With Parallel State Backup Autor Zhang, Wei, Zhang, Qianling, Lv, Mingsong, Liu, Songran, Zhou, Zimeng, Chen, Qiulin, Guan, Nan, Ju, Lei

“… Since the energy harvester generally outputs weak and unstable energy, the system may suffer frequent and unpredictable power failures, thus falling into cyclically reboots without forward progress…”
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Rebuttal to: Liu et al. “Progress in global parallel computing research: a bibliometric approach”, vol. 95, pp 967–983 Autor Ho, Yuh-Shan

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Recent Progress of Neuromorphic Computing Based on Silicon Photonics: Electronic–Photonic Co-Design, Device, and Architecture Autor Xu, Bo, Huang, Yuhao, Fang, Yuetong, Wang, Zhongrui, Yu, Shaoliang, Xu, Renjing

“… fabrication techniques, and abundant optical components. In addition, neuromorphic computing based on silicon photonics can provide massively parallel processing and high…”
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A fast bond-based peridynamic program based on GPU parallel computing Autor Yang, Yang, Su, Zixin, Liu, Yijun

“… This paper introduces a parallel algorithm for bond-based peridynamic using the GPU parallel CUDA programming technology…”
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Energy-minimized Scheduling of Real-time Parallel Workflows on Heterogeneous Distributed Computing Systems Autor Hu, Biao, Cao, Zhengcai, Zhou, MengChu

“…Today's large-scale parallel workflows are often processed on heterogeneous distributed computing platforms…”
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Solid state qubits: how learning from CMOS fabrication can speed-up progress in Quantum Computing Autor Radu, I. P., Li, R., Potocnik, A., Ivanov, T., Wan, D., Kubicek, S., Dumoulin Stuyck, N. I., Verjauw, J., Jussot, J., Canvel, Y., Godfrin, C., Mongillo, M., Acharya, R., Elsayed, A., Shehata, M., Piao, X., Pacco, A., Souriau, L., Couet, S., Chan, B. T., Craninckx, J., Parvais, B., Grill, A., Narasimhamoorthy, S., Van Winckel, S., Brebels, S., Mohiyaddin, F. A., Simion, G., Govoreanu, B.

“… Here we outline progress on 300mm fabrication of qubit devices and on classical CMOS components to enable the quantum system…”
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Nonconvex Dantzig selector and its parallel computing algorithm Autor Wen, Jiawei, Yang, Songshan, Zhao, Delin

“…The Dantzig selector is a popular ℓ 1 -type variable selection method widely used across various research fields. However, ℓ 1 -type methods may not perform…”
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Junctionless Negative‐Differential‐Resistance Device Using 2D Van‐Der‐Waals Layered Materials for Ternary Parallel Computing Autor Lee, Taeran, Jung, Kil‐Su, Seo, Seunghwan, Lee, Junseo, Park, Jihye, Kang, Sumin, Park, Jeongwon, Kang, Juncheol, Ahn, Hogeun, Kim, Suhyun, Lee, Hae Won, Lee, Doyoon, Kim, Ki Seok, Kim, Hyunseok, Heo, Keun, Kim, Sunmean, Bae, Sang‐Hoon, Kang, Seokhyeong, Kang, Kibum, Kim, Jeehwan, Park, Jin‐Hong

“…Negative‐differential‐resistance (NDR) devices offer a promising pathway for developing future computing technologies characterized by exceptionally low energy consumption, especially multivalued logic computing…”
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Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics Autor Dathathri, Roshan, Gill, Gurbinder, Hoang, Loc, Jatala, Vishwesh, Pingali, Keshav, Nandivada, V. Krishna, Dang, Hoang-Vu, Snir, Marc

“…Distributed graph analytics systems for CPUs, like D-Galois and Gemini, and for GPUs, like D-IrGL and Lux, use a bulk-synchronous parallel (BSP…”
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A Dual-Split 6T SRAM-Based Computing-in-Memory Unit-Macro With Fully Parallel Product-Sum Operation for Binarized DNN Edge Processors Autor Si, Xin, Chang, Meng-Fan, Khwa, Win-San, Chen, Jia-Jing, Li, Jia-Fang, Sun, Xiaoyu, Liu, Rui, Yu, Shimeng, Yamauchi, Hiroyuki, Li, Qiang

“…Computing-in-memory (CIM) is a promising approach to reduce the latency and improve the energy efficiency of deep neural network (DNN…”
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Using OpenCL: programming massively parallel computers Autor Kowalik, Janusz S, Puzniakowski, Tadeusz

“… In 2000 the Khronos Group, a not-for-profit industry consortium, was founded to create standard open APIs for parallel computing, graphics and dynamic media…”
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Task Scheduling for Energy Consumption Constrained Parallel Applications on Heterogeneous Computing Systems Autor Quan, Zhe, Wang, Zhi-Jie, Ye, Ting, Guo, Song

“… and the overall energy consumption is guaranteed. In this article, we study the problem of minimizing the schedule length for energy consumption constrained parallel applications on heterogeneous computing systems, where the schedule length refers…”
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Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5 Autor Sadler, Jeffrey M., Goodall, Jonathan L., Behl, Madhur, Morsy, Mohamed M., Culver, Teresa B., Bowes, Benjamin D.

“…)). Swmm_mpc uses an evolutionary algorithm as an optimizer and supports parallel processing…”
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