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Forward-mode automatic differentiation of compiled programs
M Aehle, J Blühdorn, M Sagebaum… - ACM Transactions on …, 2022 - dl.acm.org
Algorithmic differentiation (AD) is a set of techniques that provide partial derivatives of
computer-implemented functions. Such functions can be supplied to state-of-the-art AD tools …
computer-implemented functions. Such functions can be supplied to state-of-the-art AD tools …
Challenges in empirically testing memory persistency models
Memory persistency models provide the foundational rules for software engineers to
develop applications that take advantage of non-volatile memory (NVM), dictating which …
develop applications that take advantage of non-volatile memory (NVM), dictating which …
Lost in Interpretation: Navigating Challenges in Validating Persistency Models Amid Vague Specs and Stubborn Machines, All with a Sense of Humour
Memory persistency models provide a foundation for persistent programming by specifying
which (and when) writes to non-volatile memory (NVM) become persistent. Memory …
which (and when) writes to non-volatile memory (NVM) become persistent. Memory …
[PDF][PDF] Chasing Unicorns and Not Losing Hope in Validating Weak Memory Persistency Models
V Klimis - 2024 - qmro.qmul.ac.uk
Chasing Unicorns and Not Losing Hope in Validating Weak Memory Persistency Models
Page 1 The Future of Weak Memory (POPL’24), 15 January 2024, London, UK Chasing …
Page 1 The Future of Weak Memory (POPL’24), 15 January 2024, London, UK Chasing …