Evaluating Products of Non Linear Functions by Indirect Bipartite Table Lookup. - David W. Matula; Alex Fit-Florea; Lee D. McFearin (ASAP, 2002)

Prescaled Integer Division. - David W. Matula; Alex Fit-Florea (IEEE Symposium on Computer Arithmetic, 2003)

A Digit-Serial Algorithm for the Discrete Logarithm Modulo 2k. - Alex Fit-Florea; David W. Matula (ASAP, 2004)

Enhancing Reliability of Operational Interconnections in FPGAs. - Alex Fit-Florea; Miroslav Halás; Fatih Kocan (DATE, 2004)

A Model for Identifying the Underlying Logical Structure of Natural Language. - Vasile Rus; Alex Fit-Florea (PRICAI, 2004)

Determining all pairs edge connectivity of a 4-regular graph in O(|V|). - Alex Fit-Florea; David W. Matula (AICCSA, 2005)

Table Lookup Structures for Multiplicative Inverses Modulo 2k. - David W. Matula; Alex Fit-Florea; Mitchell Aaron Thornton (IEEE Symposium on Computer Arithmetic, 2005)

Hardware Implementation of an Additive Bit-Serial Algorithm for the Discrete Logarithm Modulo 2k. - Lun Li; Alex Fit-Florea; Mitchell A. Thornton; David W. Matula (ISVLSI, 2005)

Performance Evaluation of a Novel Direct Table Lookup Method and Architecture with Application to 16-bit Integer Functions. - Lun Li; Alex Fit-Florea; Mitchell A. Thornton; David W. Matula (ASAP, 2006)

A Discrete Logarithm Number System for Integer Arithmetic Modulo 2k: Algorithms and Lookup Structures. - Alex Fit-Florea; Lun Li; Mitchell A. Thornton; David W. Matula (IEEE Trans. Computers, 2009)

Pay Attention when Required. - Swetha Mandava; Szymon Migacz; Alex Fit-Florea (CoRR, 2020)

Searching the Deployable Convolution Neural Networks for GPUs. - Linnan Wang; Chenhan Yu; Satish Salian; Slawomir Kierat; Szymon Migacz; Alex Fit-Florea (CVPR, 2022)

GPUNet: Searching the Deployable Convolution Neural Networks for GPUs. - Linnan Wang; Chenhan Yu; Satish Salian; Slawomir Kierat; Szymon Migacz; Alex Fit-Florea (CoRR, 2022)

Tiered Pruning for Efficient Differentialble Inference-Aware Neural Architecture Search. - Slawomir Kierat; Mateusz Sieniawski; Denys Fridman; Chenhan Yu; Szymon Migacz; Pawel Morkisz; Alex Fit-Florea (CoRR, 2022)

A Framework for Large Scale Synthetic Graph Dataset Generation. - Sajad Darabi; Piotr Bigaj; Dawid Majchrowski; Pawel M. Morkisz; Alex Fit-Florea (CoRR, 2022)

A Framework for Large-Scale Synthetic Graph Dataset Generation. - Sajad Darabi; Piotr Bigaj; Dawid Majchrowski; Artur Kasymov; Pawel M. Morkisz; Alex Fit-Florea (IEEE Trans. Neural Networks Learn. Syst., 2025)