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)

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)

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

Stakeholder Perspectives about Developing and Implementing an Online Alternative to Out-of-School Suspension for First Time Substance Use Policy Violators. - Michele R. Shaw; Marian Wilson; Cristina Anderson; Celestina Barbosa-Leiker; Allison Matthews (HICSS, 2019)

Optimizing Deep Learning RNN Topologies on Intel Architecture. - Kunal Banerjee 001; Evangelos Georganas; Dhiraj D. Kalamkar; Barukh Ziv; Eden Segal; Cristina Anderson; Alexander Heinecke (Supercomput. Front. Innov., 2019)

Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads. - Evangelos Georganas; Dhiraj D. Kalamkar; Sasikanth Avancha; Menachem Adelman; Cristina Anderson; Alexander Breuer; Jeremy Bruestle; Narendra Chaudhary; Abhisek Kundu; Denise Kutnick; Frank Laub; Md. Vasimuddin; et al. (SC, 2021)

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. - Evangelos Georganas; Dhiraj D. Kalamkar; Sasikanth Avancha; Menachem Adelman; Cristina Anderson; Alexander Breuer; Narendra Chaudhary; Abhisek Kundu; Md. Vasimuddin; Sanchit Misra; Ramanarayan Mohanty; Hans Pabst; et al. (CoRR, 2021)

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads. - Evangelos Georganas; Dhiraj D. Kalamkar; Sasikanth Avancha; Menachem Adelman; Deepti Aggarwal; Cristina Anderson; Alexander Breuer; Jeremy Bruestle; Narendra Chaudhary; Abhisek Kundu; Denise Kutnick; Frank Laub; et al. (Frontiers Appl. Math. Stat., 2022)