activity
20162026
most citedFeasibility study for the measurement of TDAs at PANDA in

32 citations · 59 across the 27 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.DC2024

Energy-aware operation of HPC systems in Germany

Estela Suarez, Hendryk Bockelmann, Norbert Eicker +19

High-Performance Computing (HPC) systems are among the most energy-intensive scientific facilities, with electric power consumption reaching and often exceeding 20 megawatts per in…

cs.AR2024★ 4 cited

Performance and Power: Systematic Evaluation of AI Workloads on Accelerators with CARAML

Chelsea Maria John, Stepan Nassyr, Carolin Penke +1

The rapid advancement of machine learning (ML) technologies has driven the development of specialized hardware accelerators designed to facilitate more efficient model training. Th…

cs.CL2024★ 2 cited

Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs

Mehdi Ali, Michael Fromm, Klaudia Thellmann +38

We present two multilingual LLMs, Teuken 7B-base and Teuken 7B-instruct, designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European U…

cs.DC2024

Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric

Gabin Schieffer, Ruimin Shi, Stefano Markidis +3

Modern GPU systems are constantly evolving to meet the needs of computing-intensive applications in scientific and machine learning domains. However, there is typically a gap betwe…

cs.DC2024★ 10 cited

Application-Driven Exascale: The JUPITER Benchmark Suite

Andreas Herten, Sebastian Achilles, Damian Alvarez +28

Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real appli…