Benjamin Klenk

16 papers A* 2A 2B 2C 1Misc 1Journal 4Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	ACTINA: Adapting Circuit-Switching Techniques for AI Networking Architectures. SC Zhenguo Wu, Benjamin Klenk, Larry Dennison, Keren Bergman
2025	J	`jnl`	Toward a Standardized Representation for Deep Learning Collective Algorithms. IEEE Micro Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
2024	Misc	`conf`	Towards a Standardized Representation for Deep Learning Collective Algorithms. HOTI Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
2024	J	`jnl`	Towards a Standardized Representation for Deep Learning Collective Algorithms. CoRR Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
2022	J	`jnl`	A Case For Intra-rack Resource Disaggregation in HPC. ACM Trans. Archit. Code Optim. George Michelogiannakis, Benjamin Klenk, Brandon Cook, Min Yee Teh, Madeleine Glick, Larry Dennison, Keren Bergman, John Shalf
2021	A*	`conf`	SiP-ML: high-bandwidth optical network interconnects for machine learning training. SIGCOMM Mehrdad Khani Shirkoohi, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi
2020	A*	`conf`	An In-Network Architecture for Accelerating Shared-Memory Multiprocessor Collectives. ISCA Benjamin Klenk, Nan Jiang, Greg Thorson, Larry Dennison
2020	—	`conf`	Why Data Science and Machine Learning Need Silicon Photonics. OFC Benjamin Klenk, Larry Dennison
2018	—	`—`	Communication architectures for scalable GPU-centric computing systems. Benjamin Klenk
2017	C	`conf`	An Overview of MPI Characteristics of Exascale Proxy Applications. ISC Benjamin Klenk, Holger Fröning
2017	A	`conf`	Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors. IPDPS Benjamin Klenk, Holger Fröning, Hans Eberle, Larry Dennison
2016	J	`jnl`	Analyzing GPU-controlled communication with dynamic parallelism in terms of performance and energy. Parallel Comput. Lena Oden, Benjamin Klenk, Holger Fröning
2015	B	`conf`	Analyzing communication models for distributed thread-collaborative processors in terms of energy and time. ISPASS Benjamin Klenk, Lena Oden, Holger Fröning
2014	—	`conf`	Analyzing Put/Get APIs for Thread-Collaborative Processors. ICPP Workshops Benjamin Klenk, Lena Oden, Holger Fröning
2014	B	`conf`	Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs. CCGRID Lena Oden, Benjamin Klenk, Holger Fröning
2014	—	`conf`	Energy-efficient stencil computations on distributed GPUs using dynamic parallelism and GPU-controlled communication. E2SC@SC Lena Oden, Benjamin Klenk, Holger Fröning