ACM International Conference on Supercomputing

ICS

CORE rank

CORE rank (raw)

Fields of research

Computer Systems Engineering · Distributed Computing and Systems Software

Papers indexed

1,987

1987–2026

Best Systems and Networking conferences Best Computer Systems Engineering conferences

Papers per year

1987135 peak2026

Most published authors

ICS papers

1,987 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2023	Scalable parallelization for the solution of phonon Boltzmann Transport Equation.	Han D. Tran, Siddharth Saurav, P. Sadayappan, Sandip Mazumder, Hari Sundar
2023	A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training.	Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele
2023	Lightweight Huffman Coding for Efficient GPU Compression.	Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2023	Transfer-learning-based Autotuning using Gaussian Copula.	Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023	Accelerating BWA-MEM Read Mapping on GPUs.	Minh Pham, Yicheng Tu, Xiaoyi Lv
2023	Scalable algorithms for compact spanners on real world graphs.	Maulein Pathak, Yogish Sabharwal, Neelima Gupta
2023	PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization.	Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo
2023	Wafer-Scale Fast Fourier Transforms.	Marcelo Orenes-Vera, Ilya Sharapov, Robert S. Schreiber, Mathias Jacquelin, Philippe Vandermersch, Sharan Chetlur
2023	RT-kNNS Unbound: Using RT Cores to Accelerate Unrestricted Neighbor Search.	Vani Nagarajan, Durga Mandarapu, Milind Kulkarni
2023	DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access.	Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae
2023	FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.	Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023	Using Additive Modifications in LU Factorization Instead of Pivoting.	Neil Lindquist, Piotr Luszczek, Jack J. Dongarra
2023	BiRFIA: Selective Binary Rewriting for Function Interception on ARM.	Kelun Lei, Xin You, Hailong Yang, Zhongzhi Luan, Depei Qian
2023	Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge.	Ismayil Ismayilov, Javid Baydamirli, Dogan Sagbili, Mohamed Wahib, Didem Unat
2023	FLASH: FPGA-Accelerated Smart Switches with GCN Case Study.	Pouya Haghi, William Krska, Cheng Tan, Tong Geng, Po Hao Chen, Connor Greenwood, Anqi Guo, Thomas M. Hines, Chunshu Wu, Ang Li, Anthony Skjellum, Martin C. Herbordt
2023	Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training.	Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng
2023	FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing.	Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li
2023	GRAP: Group-level Resource Allocation Policy for Reconfigurable Dragonfly Network in HPC.	Guangnan Feng, Dezun Dong, Shizhen Zhao, Yutong Lu
2023	Distributed-Memory Parallel JointNMF.	Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
2023	FMI: Fast and Cheap Message Passing for Serverless Functions.	Marcin Copik, Roman Bhringer, Alexandru Calotoiu, Torsten Hoefler
2023	Enabling Reconfigurable HPC through MPI-based Inter-FPGA Communication.	Nicholas Contini, Bharath Ramesh, Kaushik Kandadi Suresh, Tu Tran, Benjamin Michalowicz, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda
2023	Seizing the Bandwidth Scaling of On-Package Interconnect in a Post-Moore's Law World.	Grigory Chirkov, David Wentzlaff
2023	BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs.	Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li
2023	OpenFFT: An Adaptive Tuning Framework for 3D FFT on ARM Multicore CPUs.	Tun Chen, Haipeng Jia, Yunquan Zhang, Kun Li, Zhihao Li, Xiang Zhao, Jianyu Yao, Chendi Li
2023	Use Only What You Need: Judicious Parallelism For File Transfers in High Performance Networks.	Md. Arifuzzaman, Engin Arslan

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Comparable venues

Other A*/A conferences filed under the same field of research.