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20162024
most citedSparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

341 citations · 1.1k across the 43 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.DC2022★ 2 cited

Python FPGA Programming with Data-Centric Multi-Level Design

Johannes de Fine Licht, Tiziano De Matteis, Tal Ben-Nun +5

Although high-level synthesis (HLS) tools have significantly improved programmer productivity over hardware description languages, developing for FPGAs remains tedious and error pr…

cs.DC2022★ 1 cited

Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping

Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun +2

The multi-pumping resource sharing technique can overcome the limitations commonly found in single-clocked FPGA designs by allowing hardware components to operate at a higher clock…

cs.SE2022★ 3 cited

Boosting Performance Optimization with Interactive Data Movement Visualization

Philipp Schaad, Tal Ben-Nun, Torsten Hoefler

Optimizing application performance in today's hardware architecture landscape is an important, but increasingly complex task, often requiring detailed performance analyses. In part…

cs.DC2022

Deinsum: Practically I/O Optimal Multilinear Algebra

Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun +2

Multilinear algebra kernel performance on modern massively-parallel systems is determined mainly by data movement. However, deriving data movement-optimal distributed schedules for…

cs.LG2022★ 8 cited

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts

Saleh Ashkboos, Langwen Huang, Nikoli Dryden +5

Post-processing ensemble prediction systems can improve the reliability of weather forecasting, especially for extreme event prediction. In recent years, different machine learning…

cs.DS2022★ 1 cited

The spatial computer: A model for energy-efficient parallel computation

Lukas Gianinazzi, Tal Ben-Nun, Maciej Besta +4

We present a new parallel model of computation suitable for spatial architectures, for which the energy used for communication heavily depends on the distance of the communicating…

cs.DC2022★ 3 cited

Productive Performance Engineering for Weather and Climate Modeling with Python

Tal Ben-Nun, Linus Groner, Florian Deconinck +11

Earth system models are developed with a tight coupling to target hardware, often containing specialized code predicated on processor characteristics. This coupling stems from usin…