Talia Chen participated in the Student Research Competition of SOSP’24, undergraduate category, with a poster of her work, “Scaling GNN Sampling on Large-Scale Graphs with io_uring“. Talia made it to the final round, where she gave a short presentation in front of the judges and SOSP attendees. Congratulations, Talia!
Our paper “In situ neighborhood sampling for large-scale GNN training” received the best short paper award at DaMoN’24. Congratulations to all authors!
Vasia Kalavri was nominated and accepted to become a Confluent Community Catalyst for the class of 23-24.
PI Vasia Kalavri has received an NSF award to support her project “Scaling Graph Machine Learning Workloads on Modern Storage” for the next 3 years.
The SIGMOD Systems Award is awarded to an individual or set of individuals to recognize the development of a software or hardware system whose technical contributions have had significant impact on the theory or practice of large-scale data management systems. This year the award recognizes Apache Flink, which greatly expanded the use of stream data-processing. […]
We are grateful to the BU Red Hat Collaboratory for the following 2023 Research Incubation Awards: 1. Towards high performance and energy efficiency in open-source stream processing (PIs: Vasiliki Kalavri, Jonathan Appavoo) 2. Serverless Streaming Graph Analytics (PI: Vasiliki Kalavri) Read the full announcement here.
CASP lab receives two new research awards: A gift from Bosch GmbH to support our research on privacy-preserving data processing systems. A SaTC Core Medium award from NSF (#2209194). The award will support our research on secure outsourced analytics in untrusted clouds for the next 4 years. We are grateful for the support!
Shengyao (Jax) Luo is joining the CASP Systems lab this summer, after being awarded a UROP grant. Jax’s project, “Monitoring and improving energy consumption in stream data processing”, aims to curate and publish a unique data set of fine-grained time-series energy and performance data for streaming workloads.
Our research lab has received three Research Incubation Awards from the BU Red Hat Collaboratory: 1. Towards high performance and energy efficiency in open-source stream processing (PIs: Vasiliki Kalavri, Jonathan Appavoo) 2. Serverless Streaming Graph Analytics (PI: Vasiliki Kalavri) 3. Secure cross-site analytics on OpenShift logs (PI: John Liagouris) Read the full announcement here.
We are delighted to announce two recent industry gifts CASP Lab received: A 2021 Data Acquisition, Processing and Analysis (DAPA) Award by Google to continue our work on self-managed stream processing systems, understanding the characteristics of streaming state access workloads, and designing workload-aware streaming state stores. A Samsung Memory Solutions Lab award to support our […]