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Z

张杰

职称:助理教授

研究所:数据科学与工程研究所

研究领域:存储系统和专用处理器

电子邮件:jiezpku.edu.cn

主要研究方向

存储系统和专用处理器的研究和设计。

致力于从计算机体系结构层面出发,解决大数据和人工智能时代对于高性能存储系统的需求,突破冯诺依曼体系结构下数据迁移的瓶颈以及内存墙的限制。

负责和参与的项目得到了美国能源部、美国自然科学基金、韩国自然科学基金、三星电子、海力士、德州仪器和西部数据的资助。

在国际计算机会议上发表30余篇论文,包括:

计算机体系结构顶级会议ISCA(CCF-A,两篇),HPCA(CCF-A,三篇),MICRO(CCF-A,两篇);系统结构顶级会议OSDI (CCF-A), Eurosys (CCF-B);并行计算顶级会议 PACT (CCF-B);计算机存储顶级会议FAST(CCF-A);以及EDA顶级会议DAC(CCF-A)。

主要学术任职

在多个CCF-A类期刊和会议上担任审稿人,包括:

· IEEE Transactions on Computer (CCF-A)

· ACM Transactions on Storage (CCF-A)

· ACM Transactions on Computer Systems (CCF-A)

· IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (CCF-A)

· IEEE Transactions on Parallel and Distributed Systems (CCF-A)

· ACM Transactions on Architecture and Code Optimization(CCF-B)

· IEEE Computer Architecture Letters

Selected Publications

  • Ohm-GPU: Integrating New Optical Network and Heterogeneous Memory into GPU Multi-Processors (MICRO) 2021

  • Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution (ISCA) 2021

  • ZnG: Architecting GPU Multi-Processors with New Flash for Scalable Data Analysis (ISCA) 2020

  • Scalable Parallel Flash Firmware for Many-core Architectures (FAST) 2020

  • DRAM-less: Hardware Acceleration of Data Processing with New Memory (HPCA) 2020

  • FlashGPU: Placing New Flash Next to GPU Cores (DAC) 2019

  • FUSE: Fusing STT-MRAM into GPUs to Alleviate Off-Chip Memory Access Overheads (HPCA) 2019

  • FlashShare: Punching Through Server Storage Stack from Kernel to Firmware for Ultra-Low Latency SSDs (OSDI) 2018

  • Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources (MICRO) 2018

  • FlashAbacus: A Self-governing Flash-based Accelerator for Low-power Systems (Eurosys) 2018

  • DUANG: Fast and Lightweight Page Migration in Asymmetric Memory Systems (HPCA) 2016

  • NVMMU: A Non-Volatile Memory Management Unit for Heterogeneous GPU-SSD Architectures (PACT) 2015