Asaf Jivilik on Cybord: Electronic Component Traceability.Sandeep Dixit on The Good And Bad Of Bi-Directional Charging.Frank on The Good And Bad Of Bi-Directional Charging.Rama Chaganti on Growing System Complexity Drives More IP Reuse.WZIS on Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU (Ecole Polytechnique Montreal, IBM, Mila, CMC).Leonard Tsai on Will Floating Point 8 Solve AI/ML Overhead?.Xavier on Metrology Options Increase As Device Needs Shift.Arpan Bhattacherjee on The Path To Known Good Interconnects.Harshita Gupta on Challenges With Stacking Memory On Logic.Tanj Bennett on Chip Design Shifts As Fundamental Laws Run Out Of Steam.Christopher Wendt on Collaboration Widens Among Big Chip Companies.Steve Nordquist on 3-Terminal Thermal Transistor With Thermal Measurements For The Switching And Amplification.Karen Heyman on Will Floating Point 8 Solve AI/ML Overhead?.Jan Hoppe on Hunting For Hardware-Related Errors In Data Centers.Anne Meixner on Hunting For Hardware-Related Errors In Data Centers.Visit Semiconductor Engineering’s Technical Paper library here and discover many more chip industry academic papers.Ģ.5D 5G 7nm advanced packaging AI ANSYS Apple Applied Materials ARM Atrenta automotive business Cadence EDA eSilicon EUV finFETs GlobalFoundries Google IBM imec Intel IoT IP Lam Research machine learning memory Mentor Mentor Graphics MIT Moore's Law Nvidia NXP Qualcomm Rambus Samsung security SEMI Siemens Siemens EDA software Sonics Synopsys TSMC verification Jifei Yi, Benchao Dong, Mingkai Dong, Ruizhe Tong, and Haibo Chen, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University. 2022 at the USENIX Conference on File and Storage Technologies. The evaluation shows that MT 2 can accurately identify the noisy neighbors, and the regulation on them allows other applications to improve performance by up to 2.6× compared to running with unrestricted noisy neighbors.”įind the open access technical paper here. To expose such a facility to applications, we integrate MT 2 into the cgroup mechanism by adding a new subsystem for memory bandwidth regulation. MT 2 then leverages a dynamic bandwidth throttling algorithm to regulate memory bandwidth with multiple mechanisms. Specifically, MT 2 first detects memory traffic interference and monitors different types of memory bandwidth of applications from the mixed traffic through hardware monitors and software reports. This paper first presents an analysis of memory traffic interference and then introduces MT 2 to regulate memory bandwidth among concurrent applications on hybrid NVM/DRAM platforms. Unfortunately, NVM and DRAM share the same memory bus, and their traffic is mixed together and interferes with each other, making memory bandwidth regulation a challenge on hybrid NVM/DRAM platforms. Besides the absolute bandwidth, the competition is also highly correlated with the bandwidth type. This paper finds that bandwidth competition is more severe on hybrid platforms and can even significantly degrade the total system bandwidth. Identifying the noisy neighbors and regulating the memory bandwidth usage of them can alleviate the contention and achieve better performance. Memory-intensive applications competing for the scant memory bandwidth can yield degraded performance. “Non-volatile memory (NVM) has emerged as a new memory media, resulting in a hybrid NVM/DRAM configuration in typical servers. New technical paper from Shanghai Jiao Tong University
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