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20202026
most citedSeBS-Flow: Benchmarking Serverless Cloud Function Workflows

10 citations · 35 across the 23 of their papers we have counts for

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12 papers · 1 filter

cs.DC2026

What Bloats Your Floats? Right-Sizing Numerical Precision for Scientific Computing

Pratyai Mazumder, Alexandru Calotoiu, Marcin Copik +3

While FP64 (binary64) remains the standard representation of real numbers in scientific computing, hardware trends increasingly favor low-precision formats optimized for AI workloa…

cs.DC2026

FP64 Is All You Want, INT8 Is All You Need, FP4/6/8 Is All You Have

Pratyai Mazumder, Alexandru Calotoiu, Torsten Hoefler

Ozaki scheme II emulates FP64 matrix products with INT8 ones through residues modulo pairwise coprime moduli, and variants for FP8 and FP4 have followed. We treat these schemes as…

cs.DC2026

ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations

Afif Boudaoud, Lisa Gaedke-Merzhäuser, Alexandros Nikolaos Ziogas +6

Spatio-temporal Bayesian inference drives environmental and health sciences using latent Gaussian models. Integrated Nested Laplace Approximations (INLA) enable inference for these…

cs.DC2025

Design in Tiles: Automating GEMM Deployment on Tile-Based Many-PE Accelerators

Aofeng Shen, Chi Zhang, Yakup Budanaz +4

Tile-based many-Processing Element (PE) accelerators can achieve competitive performance on General Matrix Multiplication (GEMM), but they are extremely hard to program, as their o…

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

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…

cs.DC2023

User-guided Page Merging for Memory Deduplication in Serverless Systems

Wei Qiu, Marcin Copik, Yun Wang +2

Serverless computing is an emerging cloud paradigm that offers an elastic and scalable allocation of computing resources with pay-as-you-go billing. In the Function-as-a-Service (F…

cs.DC2023★ 1 cited

FMI: Fast and Cheap Message Passing for Serverless Functions

Marcin Copik, Roman Böhringer, Alexandru Calotoiu +1

Serverless functions provide elastic scaling and a fine-grained billing model, making Function-as-a-Service (FaaS) an attractive programming model. However, for distributed jobs th…

cs.DC2022★ 6 cited

FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an Example

Marcin Copik, Alexandru Calotoiu, Pengyu Zhou +2

FaaS (Function-as-a-Service) revolutionized cloud computing by replacing persistent virtual machines with dynamically allocated resources. This shift trades locality and statefulne…

cs.DC2021★ 3 cited

rFaaS: Enabling High Performance Serverless with RDMA and Leases

Marcin Copik, Konstantin Taranov, Alexandru Calotoiu +1

High performance is needed in many computing systems, from batch-managed supercomputers to general-purpose cloud platforms. However, scientific clusters lack elastic parallelism, w…

cs.DC2020

Extracting Clean Performance Models from Tainted Programs

Marcin Copik, Alexandru Calotoiu, Tobias Grosser +3

Performance models are well-known instruments to understand the scaling behavior of parallel applications. They express how performance changes as key execution parameters, such as…