Arnold.L. Rosenberg
Journal of the ACM
High-performance stream processing is critical in many sense-and-respond application domainsfrom environmental monitoring to algorithmic trading. In this paper, we focus on language and runtime support for improving the performance of sense-and-respond applications in processing data from high-rate live streams. The central tenets of this work are the programming model, the workload splitting mechanisms, the code generation framework, and the underlying System S middleware and Spade programming model. We demonstrate considerable scalability behavior coupled with low processing latency in a real-world financial trading application. © 2010 Elsevier Inc. All rights reserved.
Arnold.L. Rosenberg
Journal of the ACM
Amarachi Blessing Mbakwe, Joy Wu, et al.
NeurIPS 2023
Bemali Wickramanayake, Zhipeng He, et al.
Knowledge-Based Systems
Shachar Don-Yehiya, Leshem Choshen, et al.
ACL 2025