activity
20202025
most citedTunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2025

Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL

Biagio Cosenza, Lorenzo Carpentieri, Kaijie Fan +3

Programming modern high-performance computing systems is challenging due to the need to efficiently program GPUs and accelerators and to handle data movement between nodes. The C++…

cs.DC2025

Concurrent Scheduling of High-Level Parallel Programs on Multi-GPU Systems

Fabian Knorr, Philip Salzmann, Peter Thoman +1

Parallel programming models can encourage performance portability by moving the responsibility for work assignment and data distribution from the programmer to a runtime system. Ho…

cs.DC2023★ 4 cited

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach

Gianluca Palermo, Gianmarco Accordi, Davide Gadioli +32

Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system. The implementation of machine learning, extreme-scale computer…

cs.DC2020★ 1 cited

Datasets for Benchmarking Floating-Point Compressors

Fabian Knorr, Peter Thoman, Thomas Fahringer

Compression of floating-point data, both lossy and lossless, is a topic of increasing interest in scientific computing. Developing and evaluating suitable compression algorithms re…

cs.GR2020

Running on Raygun

Alexander Hirsch, Peter Thoman

With the introduction of Nvidia RTX hardware, ray tracing is now viable as a general real time rendering technique for complex 3D scenes. Leveraging this new technology, we present…