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所在单位:
电子信息与电气工程学院
职称:
副研究员
电子邮箱:
songzhuoran@sjtu.edu.cn
教师拼音名称:
songzhuoran
办公地点:
上海交通大学电信群楼3-125
性别:
女
在职信息:
在职
学科:
计算机系统结构(081201)
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[16] 会议论文,ESNreram: An Energy-Efficient Sparse Neural Network Based on Resistive Random-Access Memory ,Great Lakes Symposium on VLSI,2020-09-01,宋卓然
[17] 会议论文,PRArch: Pattern-Based Reconfigurable Architecture for Deep Neural Network Acceleration ,2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS),2020-12-01
[18] 会议论文,ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator ,IEEE International Symposium on Circuits and Systems (ISCAS) ,2021-05-01,宋卓然
[19] 会议论文,Energy-efficient and quality-assured approximate computing framework using a co-training method ,ACM Transactions on Design Automation of Electronic Systems (TODAES) ,2019-08-01,宋卓然
[20] 会议论文,VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration,IEEE/ACM International Symposium on Microarchitecture (MICRO) ,2020-10-01,宋卓然
[21] 期刊论文,ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator ,IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ,2020-04-01,宋卓然
[22] 会议论文,Approximate Random Dropout for DNN training acceleration in GPGPU,Design, Automation & Test in Europe Conference & Exhibition (DATE),2019-03-01,宋卓然
[23] 会议论文,DRQ: Dynamic Region-Based Quantization for Deep Neural Network Acceleration,ACM/IEEE International Symposium on Computer Architecture,2020-05-01,宋卓然
共23条 2/2
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