97 citations · 118 across the 5 of their papers we have counts for
6 papers
Large Scale Studies of Memory, Storage, and Network Failures in a Modern Data Center
Justin Meza
The workloads running in the modern data centers of large scale Internet service providers (such as Amazon, Baidu, Facebook, Google, and Microsoft) support billions of users and sp…
Evaluating Row Buffer Locality in Future Non-Volatile Main Memories
Justin Meza, Jing Li, Onur Mutlu
DRAM-based main memories have read operations that destroy the read data, and as a result, must buffer large amounts of data on each array access to keep chip costs low. Unfortunat…
A Memory Controller with Row Buffer Locality Awareness for Hybrid Memory Systems
HanBin Yoon, Justin Meza, Rachata Ausavarungnirun +2
Non-volatile memory (NVM) is a class of promising scalable memory technologies that can potentially offer higher capacity than DRAM at the same cost point. Unfortunately, the acces…
Heterogeneous-Reliability Memory: Exploiting Application-Level Memory Error Tolerance
Yixin Luo, Sriram Govindan, Bikash Sharma +7
This paper summarizes our work on characterizing application memory error vulnerability to optimize datacenter cost via Heterogeneous-Reliability Memory (HRM), which was published…
Managing Hybrid Main Memories with a Page-Utility Driven Performance Model
Yang Li, Jongmoo Choi, Jin Sun +5
Hybrid memory systems comprised of dynamic random access memory (DRAM) and non-volatile memory (NVM) have been proposed to exploit both the capacity advantage of NVM and the latenc…
Energy Efficiency: The New Holy Grail of Data Management Systems Research
Stavros Harizopoulos, Mehul Shah, Justin Meza +1
Energy costs are quickly rising in large-scale data centers and are soon projected to overtake the cost of hardware. As a result, data center operators have recently started turnin…