- General Chairs:
- Yadu Babuji,
- Kyle Chard,
- Ian Foster,
- Zhuozhao Li
It is our pleasure to welcome you to the second workshop on High Performance Serverless Computing (HiPS2022). The recent years have seen growing adoption of serverless computing as a model for computing in the cloud, as well as a model for remote and distributed computing more broadly. The second workshop on High Performance Serverless Computing aims to expand on the ideas discussed in the previous iteration of this workshop and to create a dedicated forum for discussing foundational research in serverless computing in both industry and academia. The workshop brings together these communities to share experiences and advance the state of the art in high-performance serverless computing.
Proceeding Downloads
Bringing Serverless Computing to the HPC Community
The next wave of cloud computing - the serverless computing model - is enjoying adoption at scale by different cloud computing vendors. The serverless computing model is already rapidly accelerating the development and deployment of enterprise ...
Benchmarking the Data Layer Across Serverless Platforms
The use of highly scalable serverless platforms for web microservices and IoT applications is well known. However, their use for data-intensive applications is restricted due to the stateless nature of serverless functions. Any data retrieval, storage, ...
PONCHO: Dynamic Package Synthesis for Distributed and Serverless Python Applications
An increasing number of distributed applications operate by dispatching function invocations across the nodes of a distributed system. To operate correctly, the code and data dependencies of the function must be distributed along with the invocations in ...
Scalable and Cost-effective Serverless Architecture for Information Extraction Workflows
Information extraction from an image or scanned document is a complex and challenging process since it involves recognizing various visual structures such as tables, boxes, logos, text, charts, etc. Hence, the content extraction applications contain a ...
Enabling Stateful Functions for Stream Processing in the Programmable Data Plane
Sensor-rich environments are crucial components of the Internet of Things ecosystem and benefit from real-time applications. Many applications perform real-time analytics on these IoT workloads by performing continuous stream processing for a window of ...
Index Terms
- Proceedings of the 2nd Workshop on High Performance Serverless Computing