Results 161 to 170 of about 186,522 (338)
Implementation of fast HEVC encoder based on SIMD and data-level parallelism [PDF]
Yong-Jo Ahn +3 more
openalex +1 more source
Converting Binary Floating‐Point Numbers to Shortest Decimal Strings: An Experimental Review
ABSTRACT Background When sharing or logging numerical data, we must convert binary floating‐point numbers into their decimal string representations. For example, the number π might become 3.1415927. Engineers have perfected many algorithms for producing such accurate, short strings.
Jaël Champagne Gareau, Daniel Lemire
wiley +1 more source
ABSTRACT George Herbert Mead is an oft forgotten or ignored American philosopher who was one of the originators of pragmatism. Today, he is recognised as a creative thinker who has teased out knotty problems that others in the field had not realised were problems. Understanding Mead's analysis has been made difficult because he died prematurely without
Richard Ormerod
wiley +1 more source
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training [PDF]
Siddharth Singh +5 more
openalex +1 more source
The study investigates the influence of heat treatment and scan rotation on the microstructure of a modified H13 tool steel manufactured using laser powder bed fusion. Key findings include the refinement of prior austenite grains (PAGs) due to recrystallization and carbide pinning, and the significant impact of scan rotation on the size distribution of
Negar Panahi +3 more
wiley +1 more source
Software for Incremental Flattening for Nested Data Parallelism [PDF]
Troels Henriksen +3 more
openalex +1 more source
An Analysis of Software Parallelism in Big Data Technologies for Data-Intensive Architectures
Felipe Cerezo +2 more
openalex +2 more sources
Symposium on Erving Goffman and the Cold War, by Gary D. Jaworski
The symposium on Gary D. Jaworski's book Erving Goffman and the Cold War is based on an "Author meets Critics" event held at the European SSSI 2024 Conference in Pisa. After a brief introduction by Dirk vom Lehn, Gary Jaworski briefly suggests his motivation for writing the book.
Chiara Bassetti +4 more
wiley +1 more source
Neural Network Training Acceleration Based on Hybrid Data and Model Parallelism
Jose Javier García +4 more
openalex +2 more sources

