RecSys
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance.” MICRO '21: MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture, Pp. 870–884. Publisher's VersionAbstract
. 5/22/2021. “
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference.” ASPLOS 2021: Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Pp. 717–729. Publisher's VersionAbstract
. 1/29/2021. “
Cross-Stack Workload Characterization of Deep Recommendation Systems.” In 2020 IEEE International Symposium on Workload Characterization (IISWC). Publisher's VersionAbstract
. 10/27/2020. “
The Architectural Implications of Facebook's DNN-based Personalized Recommendation.” In . The 26th IEEE International Symposium on High-Performance Computer Architecture. Publisher's VersionAbstract
. 2020. “
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.” In . The 47th IEEE/ACM International Symposium on Computer Architecture (ISCA 2020). Publisher's VersionAbstract
. 5/30/2020. “
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference.” In . The 47th IEEE/ACM International Symposium on Computer Architecture (ISCA 2020). Publisher's VersionAbstract
. 2020. “