This paper focuses on in-memory MapReduce workloads that are commercially important and are especially suitable for NDC because of their embarrassing ...

Our work is the first thorough quantitative study analyzing the effect of HMC-like devices for in-memory Map-Reduce workloads. We lay the foundation for ...

Mar 13, 2019 · This paper focuses on in-memory MapReduce workloads that are commercially important and are especially suitable for NDC because of their ...

This work presents a detailed analysis of in-memory MapReduce in the context of near-data computing (NDC), and provides insight on the benefits of different ...

NDC: Analyzing the Impact of. 3D-Stacked Memory+Logic Devices on MapReduce Workloads. Seth Pugsley, Jeffrey Jestes,. Huihui Zhang, Rajeev Balasubramonian ...

et al. 2014; PACT 2014. NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads. Seth H. Pugsley; Jeffrey Jestes; et al. 2014 ...

NDC: Analyzing the impact of 3D-stacked memory+ logic devices on MapReduce workloads. SH Pugsley, J Jestes, H Zhang, R Balasubramonian, V Srinivasan ...

Near Data Computing (NDC) architecture [8] provides a similar idea to our study and assumes 3D-DRAMs embedded with processing cores. ➢ The NDC study works only ...

NDC: Analyzing the impact of 3D-stacked memory+ logic devices on MapReduce workloads. In 2014 IEEE International Symposium on Performance Analysis of ...

Jul 1, 2014 · NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads. Seth H. Pugsley, Jeffrey Jestes, et al. ISPASS 2014.