Alex Fallin

According to our database, Alex Fallin authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order.

Alex Fallin, Nathaniel Gorski, Tripti Agarwal, Bei Wang, Ganesh Gopalakrishnan, Martin Burtscher

CoRR, March, 2026

2025

Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds.

Alex Fallin, Noushin Azami, Sheng Di, Franck Cappello, Martin Burtscher

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

Omni-Homomorphic Compression for Large Scientific Datasets.

Alex Fallin, Martin Burtscher

Proceedings of the IEEE International Performance, 2025

Efficient Lossless Compression of Scientific Floating-Point Data on CPUs and GPUs.

Noushin Azami, Alex Fallin, Martin Burtscher

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Lessons Learned on the Path to Guaranteeing the Error Bound in Lossy Quantizers.

Alex Fallin, Martin Burtscher

CoRR, 2024

2023

A High-Performance MST Implementation for GPUs.

Alex Fallin, Andres Gonzalez, Jarim Seo, Martin Burtscher

Proceedings of the International Conference for High Performance Computing, 2023

2022

Reducing Memory-Bus Energy Consumption of GPUs via Software-Based Bit-Flip Minimization.

Alex Fallin, Martin Burtscher

Proceedings of the IEEE/ACM Workshop on Memory Centric High Performance Computing, 2022

A Simple, Fast, and GPU-friendly Steiner-Tree Heuristic.

Alex Fallin, Aarti Kothari, Jiayuan He, Christopher Yanez, Keshav Pingali, Rajit Manohar, Martin Burtscher

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022