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Code compiler pioneer Frances Allen dies at 88


IBM reports (via the New York Times) that computing pioneer and company fellow Frances Allen died of Alzheimer's on her birthday, August 4th, at the age of 88. She's best known for making vital contributions to compilers, or the software that turns raw code into fast-running executables. From 1966 onward, she and scientist John Cocke wrote papers detailing algorithms and frameworks that helped compilers become much more efficient -- if you've ever built an app, you likely owe something to Allen's work. She and her peers also made progress on parallel computing, where tasks are shared across systems to speed up their completion. Allen was also instrumental to advancing women in technology.

Female Pioneers in Data Science You May Not Know


Whilst many will be familiar with our Women in AI lists which include those currently pushing boundaries in the present day, we thought we would put together a list of women who have been instrumental in the advancement of Computer Science and Data Science, providing the foundations for AI in the 21st Century. How many of the below are you familiar with? Dame Mary Cartwright was a University of Oxford Graduate in Mathematics at a time in which Women had only just been allowed to take degree classifications at the prestigious school. Mary then obtained a Yarrow fellowship at Cambridge University, later pursuing research in the theory of Functions through until her retirement in 1968, becoming one of the first to study what would later become known as Chaos theory. Cartwright had a distinguished career in analytic function theory and university administration, publishing over 100 papers on classical analysis, differential equations and related topological problems.

IBM Researcher Frances Allen Made Computers Run Faster WSJD - Technology

She wanted to be a high school math teacher. When Frances Allen joined the research team at International Business Machines Corp. in 1957, she expected to stay only a year or so and earn enough to pay off her student loans. Instead, Ms. Allen remained at IBM for 45 years and in 2007 became the first woman to win the Association for Computing Machinery's A.M. Turing Award, one of the industry's highest honors. Her expertise was in creating and improving compilers, programs that translate computer languages that people can understand...

Mentor adds OpenACC and OpenMP support for AMD Graphics Core Next (GCN) Architectures to CodeBench GFortran Lite


Mentor, a Siemens business, today announced the Sourcery CodeBench GFortran embedded compiler targeted to AMD Graphics Core Next (GCN) architectures for high performance computing applications. The GFortran compiler is the industry's only open source Fortran supporting OpenACC and OpenMP (Open Multi-Processing) parallel computing directives. Mentor is a leading compiler vendor in the embedded software industry with extensive expertise in Open ACC and OpenMP standards, GNU and LLVM compiling technology, and the architectures of the most widely-used commercial silicon architectures.

Allen School News » Allen School Husky 100 honorees combine technical excellence, creativity, and service

University of Washington Computer Science

Four Allen School undergraduates -- Andrew Hu, Jenny Liang, Parker Ruth and Savanna Yee -- have been selected for the 2020 class of the Husky 100. Each year, the Husky 100 program honors 100 University of Washington students across its three campuses, in a variety of disciplines, who are making the most of their time as Huskies to have a positive impact on the UW community. Andrew Hu is a senior majoring in computer science and education, communities and organizations, the first at the UW to combine the two. His education classes taught him to focus on relationships, empathy, equity and allyship and how to incorporate those into computer science. Last summer he worked on a research project in the iSchool with informatics chair and Allen School adjunct professor Amy Ko, creating a class that allowed students to explore what interests them and see how it might be connected to computing.