Intel® Itanium® floating-point architecture. - Marius Cornea; John Harrison 001; Ping Tak Peter Tang (WCAE, 2003)

Software implementations of division and square root operations for Intel® Itanium® processors. - Marius Cornea (WCAE, 2004)

Software implementation of the IEEE 754R decimal floating-point arithmetic. - Marius Cornea; Cristina Anderson; Charles Tsen (ICSOFT (1), 2006)

A Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic Using the Binary Encoding Format. - Marius Cornea; Cristina Anderson; John Harrison 001; Ping Tak Peter Tang; Eric Schneider; Charles Tsen (IEEE Symposium on Computer Arithmetic, 2007)

IEEE 754-2008 Decimal Floating-Point for Intel. - Marius Cornea (IEEE Symposium on Computer Arithmetic, 2009)

A Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic Using the Binary Encoding Format. - Marius Cornea; John Harrison 001; Cristina Anderson; Ping Tak Peter Tang; Eric Schneider; Evgeny Gvozdev (IEEE Trans. Computers, 2009)

Guest Editors' Introduction: Special Section on Computer Arithmetic. - Javier D. Bruguera; Marius Cornea; Debjit Das Sarma (IEEE Trans. Computers, 2011)

Precision, Accuracy, and Rounding Error Propagation in Exascale Computing. - Marius Cornea (IEEE Symposium on Computer Arithmetic, 2013)

ULPs and Relative Error. - Marius Cornea (ARITH, 2017)

Enhanced Vector Math Support on the Intel®AVX-512 Architecture. - Cristina S. Anderson; Jingwei Zhang; Marius Cornea (ARITH, 2018)

New Technologies for Improved Computing. - Marius Cornea (ARITH, 2019)

FP8 Formats for Deep Learning. - Paulius Micikevicius; Dusan Stosic; Neil Burgess; Marius Cornea; Pradeep Dubey; Richard Grisenthwaite; Sangwon Ha; Alexander Heinecke; Patrick Judd; John Kamalu; Naveen Mellempudi; Stuart F. Oberman; et al. (CoRR, 2022)

Microscaling Data Formats for Deep Learning. - Bita Darvish Rouhani; Ritchie Zhao; Ankit More; Mathew Hall; Alireza Khodamoradi; Summer Deng; Dhruv Choudhary; Marius Cornea; Eric Dellinger; Kristof Denolf; Dusan Stosic; Venmugil Elango; et al. (CoRR, 2023)