Seah Kim

According to our database, Seah Kim authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AuRORA: A Full-Stack Solution for Scalable and Virtualized Accelerator Integration.

Seah Kim, Jerry Zhao, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao

IEEE Micro, 2024

2023

RoSÉ: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation.

Dima Nikiforov, Shengjun Chris Dong, Chengyi Lux Zhang, Seah Kim, Borivoje Nikolic, Yakun Sophia Shao

Dataset, June, 2023

AuRORA: Virtualized Accelerator Orchestration for Multi-Tenant Workloads.

Seah Kim, Jerry Zhao, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

RoSÉ: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation.

Dima Nikiforov, Shengjun Chris Dong, Chengyi Lux Zhang, Seah Kim, Borivoje Nikolic, Yakun Sophia Shao

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks.

Seah Kim, Hasan Genc, Vadim Vadimovich Nikiforov, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads.

Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads.

Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra

CoRR, 2022

2021

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration.

Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models.

Seah Kim, Shin Yoo

Proceedings of the 2nd IEEE/ACM International Conference on Automation of Software Test, 2021

2020

Evaluating Surprise Adequacy for Question Answering.

Seah Kim, Shin Yoo

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020