activity
20202026
most citedSeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing

18 citations · 72 across the 24 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.PF2024

A Priori Loop Nest Normalization: Automatic Loop Scheduling in Complex Applications

Lukas Trümper, Philipp Schaad, Berke Ates +3

The same computations are often expressed differently across software projects and programming languages. In particular, how computations involving loops are expressed varies due t…

cs.DC2024★ 10 cited

SeBS-Flow: Benchmarking Serverless Cloud Function Workflows

Larissa Schmid, Marcin Copik, Alexandru Calotoiu +3

Serverless computing has emerged as a prominent paradigm, with a significant adoption rate among cloud customers. While this model offers advantages such as abstraction from the de…

cs.DC2024★ 2 cited

XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing

Torsten Hoefler, Marcin Copik, Pete Beckman +8

HPC and Cloud have evolved independently, specializing their innovations into performance or productivity. Acceleration as a Service (XaaS) is a recipe to empower both fields with…

cs.CL2024★ 12 cited

Demystifying Chains, Trees, and Graphs of Thoughts

Maciej Besta, Florim Memedi, Zhenyu Zhang +13

The field of natural language processing (NLP) has witnessed significant progress in recent years, with a notable focus on improving large language models' (LLM) performance throug…

cs.DC2024

Software Resource Disaggregation for HPC with Serverless Computing

Marcin Copik, Marcin Chrapek, Larissa Schmid +2

Aggregated HPC resources have rigid allocation systems and programming models which struggle to adapt to diverse and changing workloads. Consequently, HPC systems fail to efficient…

cs.DC2024★ 1 cited

Cppless: Single-Source and High-Performance Serverless Programming in C++

Marcin Copik, Lukas Möller, Alexandru Calotoiu +1

The rise of serverless computing introduced a new class of scalable, elastic and widely available parallel workers in the cloud. Many systems and applications benefit from offloadi…