Search Results - "San San Win"

A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS by Sinangil, Mahmut E., Erbagci, Burak, Naous, Rawan, Akarvardar, Kerem, Sun, Dar, Khwa, Win-San, Liao, Hung-Jen, Wang, Yih, Chang, Jonathan

“…In this work, we present a compute-in-memory (CIM) macro built around a standard two-port compiler macro using foundry 8T bit-cell in 7-nm FinFET technology…”
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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 by 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) artificial intelligence…”
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A 40-nm 118.44-TOPS/W Voltage-Sensing Compute-in-Memory RRAM Macro With Write Verification and Multi-Bit Encoding by Yoon, Jong-Hyeok, Chang, Muya, Khwa, Win-San, Chih, Yu-Der, Chang, Meng-Fan, Raychowdhury, Arijit

“…Computing-in-memory (CIM) architectures have paved the way for energy-efficient artificial intelligence (AI) systems while outperforming von Neumann…”
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A 40-nm, 64-Kb, 56.67 TOPS/W Voltage-Sensing Computing-In-Memory/Digital RRAM Macro Supporting Iterative Write With Verification and Online Read-Disturb Detection by Yoon, Jong-Hyeok, Chang, Muya, Khwa, Win-San, Chih, Yu-Der, Chang, Meng-Fan, Raychowdhury, Arijit

“…Computing-in-memory (CIM) architectures have gained importance in achieving high-throughput energy-efficient artificial intelligence (AI) systems. Resistive…”
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The prevalence of lymphatic filariasis infection and disease following six rounds of mass drug administration in Mandalay Region, Myanmar by Dickson, Benjamin F R, Graves, Patricia M, Aye, Ni Ni, Nwe, Thet Wai, Wai, Tint, Win, San San, Shwe, Myint, Douglass, Janet, Bradbury, Richard S, McBride, William J

“…Lymphatic filariasis is widely endemic in Myanmar. Despite the establishment of an elimination program in 2000, knowledge of the remaining burden of disease…”
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15.3 A 351TOPS/W and 372.4GOPS Compute-in-Memory SRAM Macro in 7nm FinFET CMOS for Machine-Learning Applications by Dong, Qing, Sinangil, Mahmut E., Erbagci, Burak, Sun, Dar, Khwa, Win-San, Liao, Hung-Jen, Wang, Yih, Chang, Jonathan

“…Compute-in-memory (CIM) parallelizes multiply-and-average (MAV) computations and reduces off-chip weight access to reduce energy consumption and latency,…”
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SAPIENS: A 64-kb RRAM-Based Non-Volatile Associative Memory for One-Shot Learning and Inference at the Edge by Li, Haitong, Chen, Wei-Chen, Levy, Akash, Wang, Ching-Hua, Wang, Hongjie, Chen, Po-Han, Wan, Weier, Khwa, Win-San, Chuang, Harry, Chih, Y.-D., Chang, Meng-Fan, Wong, H.-S. Philip, Raina, Priyanka

“…Learning from a few examples (one/few-shot learning) on the fly is a key challenge for on-device machine intelligence. We present the first chip-level…”
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CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference by Prabhu, Kartik, Gural, Albert, Khan, Zainab F., Radway, Robert M., Giordano, Massimo, Koul, Kalhan, Doshi, Rohan, Kustin, John W., Liu, Timothy, Lopes, Gregorio B., Turbiner, Victor, Khwa, Win-San, Chih, Yu-Der, Chang, Meng-Fan, Lallement, Guenole, Murmann, Boris, Mitra, Subhasish, Raina, Priyanka

“…Implementing edge artificial intelligence (AI) inference and training is challenging with current memory technologies. As deep neural networks (DNNs) grow in…”
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A Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Fused Frame and Event-Based Target Identification and Tracking by Lele, Ashwin Sanjay, Chang, Muya, Spetalnick, Samuel D., Crafton, Brian, Konno, Shota, Wan, Zishen, Bhat, Ashwin, Khwa, Win-San, Chih, Yu-Der, Chang, Meng-Fan, Raychowdhury, Arijit

“…Accurate identification of the target and tracking it at high speeds using drone-mounted cameras and compute hardware finds military and commercial…”
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EMBER: Efficient Multiple-Bits-Per-Cell Embedded RRAM Macro for High-Density Digital Storage by Levy, Akash, Upton, Luke R., Scott, Michael D., Rich, Dennis, Khwa, Win-San, Chih, Yu-Der, Chang, Meng-Fan, Mitra, Subhasish, Murmann, Boris, Raina, Priyanka

“…Designing compact and energy-efficient resistive RAM (RRAM) macros is challenging due to: 1) large read/write circuits that decrease storage density; 2)…”
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A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors by Win-San Khwa, Jia-Jing Chen, Jia-Fang Li, Xin Si, En-Yu Yang, Xiaoyu Sun, Rui Liu, Pai-Yu Chen, Qiang Li, Shimeng Yu, Meng-Fan Chang

“…For deep-neural-network (DNN) processors [1-4], the product-sum (PS) operation predominates the computational workload for both convolution (CNVL) and…”
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Design of Nonvolatile SRAM with Ferroelectric FETs for Energy-Efficient Backup and Restore by Xueqing Li, Kaisheng Ma, George, Sumitha, Win-San Khwa, Sampson, John, Gupta, Sumeet, Yongpan Liu, Meng-Fan Chang, Datta, Suman, Narayanan, Vijaykrishnan

“…Nonvolatile SRAM (nvSRAM) has emerged as a promising approach to reducing the standby energy consumption by storing the state into an in situ nonvolatile…”
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8-b Precision 8-Mb ReRAM Compute-in-Memory Macro Using Direct-Current-Free Time-Domain Readout Scheme for AI Edge Devices by Hung, Je-Min, Wen, Tai-Hao, Huang, Yen-Hsiang, Huang, Sheng-Po, Chang, Fu-Chun, Su, Chin-I, Khwa, Win-San, Lo, Chung-Chuan, Liu, Ren-Shuo, Hsieh, Chih-Cheng, Tang, Kea-Tiong, Chih, Yu-Der, Chang, Tsung-Yung Jonathan, Chang, Meng-Fan

“…Compute-in-memory (nvCIM) macros based on non-volatile memory make it possible for artificial intelligence (AI) edge devices to perform energy-efficient…”
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An 8b-Precision 8-Mb STT-MRAM Near-Memory-Compute Macro Using Weight-Feature and Input-Sparsity Aware Schemes for Energy-Efficient Edge AI Devices by You, De-Qi, Chiu, Yen-Cheng, Khwa, Win-San, Li, Chung-Yuan, Hsieh, Fang-Ling, Chien, Yu-An, Lo, Chung-Chuan, Liu, Ren-Shuo, Hsieh, Chi-Cheng, Tang, Kea-Tiong, Chih, Yu-Der, Chang, Tsung-Yung Jonathan, Chang, Meng-Fan

“…Nonvolatile near-memory-compute (nvNMC) macros are promising candidates for edge artificial intelligence (AI) devices requiring high energy efficiency, short…”
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A Nonvolatile AI-Edge Processor With SLC-MLC Hybrid ReRAM Compute-in-Memory Macro Using Current-Voltage-Hybrid Readout Scheme by Hsu, Hung-Hsi, Wen, Tai-Hao, Huang, Wei-Hsing, Khwa, Win-San, Lo, Yun-Chen, Jhang, Chuan-Jia, Chin, Yu-Hsiang, Chen, Yu-Chiao, Lo, Chung-Chuan, Liu, Ren-Shuo, Tang, Kea-Tiong, Hsieh, Chih-Cheng, Chih, Yu-Der, Chang, Tsung-Yung Jonathan, Chang, Meng-Fan

“…On-chip non-volatile compute-in-memory (nvCIM) enables artificial intelligence (AI)-edge processors to perform multiply-and-accumulate (MAC) operations while…”
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Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing by Wen, Tai-Hao, Hung, Je-Min, Huang, Wei-Hsing, Jhang, Chuan-Jia, Lo, Yun-Chen, Hsu, Hung-Hsi, Ke, Zhao-En, Chen, Yu-Chiao, Chin, Yu-Hsiang, Su, Chin-I, Khwa, Win-San, Lo, Chung-Chuan, Liu, Ren-Shuo, Hsieh, Chih-Cheng, Tang, Kea-Tiong, Ho, Mon-Shu, Chou, Chung-Cheng, Chih, Yu-Der, Chang, Tsung-Yung Jonathan, Chang, Meng-Fan

“…Artificial intelligence (AI) edge devices prefer employing high-capacity nonvolatile compute-in-memory (CIM) to achieve high energy efficiency and rapid…”
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A 73.53TOPS/W 14.74TOPS Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Hybrid Frame and Event-Based Target Tracking by Chang, Muya, Lele, Ashwin Sanjay, Spetalnick, Samuel D., Crafton, Brian, Konno, Shota, Wan, Zishen, Bhat, Ashwin, Khwa, Win-San, Chih, Yu-Der, Chang, Meng-Fan, Raychowdhury, Arijit

“…Vision-based high-speed target-identification and tracking is a critical application in unmanned aerial vehicles (UAV) with wide military and commercial usage…”
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Effect of ultraviolet irradiation treatment on shear bond strength between polymethyl methacrylate and cobalt-chromium-molybdenum alloy by THANT, San Win, TAKAICHI, Atsushi, KAJIMA, Yuka, MOHAMED, Amr, NOZAKI, Kosuke, TAKAHASHI, Hidekazu, CHEN, Peng, HANAWA, Takao, WAKABAYASHI, Noriyuki

“…We aimed to elucidate the effects of ultraviolet (UV) irradiation on the shear bond strength (SBS) between heat-cured polymethyl methacrylate (PMMA) and a…”
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Risk factors for lymphatic filariasis and mass drug administration non-participation in Mandalay Region, Myanmar by Dickson, Benjamin F R, Graves, Patricia M, Aye, Ni Ni, Nwe, Thet Wai, Wai, Tint, Win, San San, Shwe, Myint, Douglass, Janet, Wood, Peter, Wangdi, Kinley, McBride, William J

“…Myanmar commenced a lymphatic filariasis (LF) elimination programme in 2000. Whilst the country has made considerable progress since then, a number of…”
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Preventive chemotherapy reverses covert, lymphatic‐associated tissue change in young people with lymphatic filariasis in Myanmar by Douglass, Janet, Dykes, Lukah, Kelly‐Hope, Louise, Gordon, Susan, Leggat, Peter, Aye, Ni Ni, Win, San San, Wai, Tint, Win, Yi Yi, Nwe, Thet Wai, Graves, Patricia

“…Objectives This longitudinal comparative study investigated the effect of preventive chemotherapy (PC) on covert tissue changes associated with lymphatic…”
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