Network Variation and Fault Tolerant Performance Acceleration in Mobile Devices with Simultaneous Remote Execution. - Keunsoo Kim; Benjamin Y. Cho; Won Woo Ro; Jean-Luc Gaudiot (IEEE Trans. Computers, 2015)

Server side, play buffer based quality control for adaptive media streaming. - Keunsoo Kim; Benjamin Y. Cho; Won Woo Ro (Multim. Tools Appl., 2016)

MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability. - Akhil Arunkumar; Evgeny Bolotin; Benjamin Y. Cho; Ugljesa Milic; Eiman Ebrahimi; Oreste Villa; Aamer Jaleel; Carole-Jean Wu; David W. Nellans (ISCA, 2017)

CHoNDA: Near Data Acceleration with Concurrent Host Access. - Benjamin Y. Cho; Yongkee Kwon; Sangkug Lym; Mattan Erez (CoRR, 2019)

Near Data Acceleration with Concurrent Host Access. - Benjamin Y. Cho; Yongkee Kwon; Sangkug Lym; Mattan Erez (ISCA, 2020)

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. - Liu Ke 001; Udit Gupta; Benjamin Youngjae Cho; David Brooks 001; Vikas Chandra; Utku Diril; Amin Firoozshahian; Kim M. Hazelwood; Bill Jia; Hsien-Hsin S. Lee; Meng Li 004; Bert Maher; et al. (ISCA, 2020)

Training with Multi-Layer Embeddings for Model Reduction. - Benjamin Ghaemmaghami; Zihao Deng; Benjamin Y. Cho; Leo Orshansky; Ashish Kumar Singh; Mattan Erez; Michael Orshansky (CoRR, 2020)

Accelerating bandwidth-bound deep learning inference with main-memory accelerators. - Benjamin Y. Cho; Jeageun Jung; Mattan Erez (SC, 2021)

Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. - Zihao Deng; Benjamin Ghaemmaghami; Ashish Kumar Singh; Benjamin Y. Cho; Leo Orshansky; Mattan Erez; Michael Orshansky (ACML, 2023)