A Fundamental Turn Toward Concurrency in Software
By Herb Sutter. 2008
593 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/2cbd78231f387c4d82998e76f3a852ed2a1838a2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- B. Chapman
- Gregory F. Coppola
- R. V. D. Pas
- Lawrence M. Murray
- Gabriele Jost
- Conrad Sanderson
- J. Debonis
- Pierre Del Moral
Citations in the corpus
- Bayesian State-Space Modelling on High-Performance Hardware Using LibBi (2013, background): “Adding to the challenge since 2004 is that Moore’s Law, as applied to computing performance, has been upheld not by increasing clock speed, but by broadening parallelism (Sutter 2005).”
- Iterative parameter mixing for distributed large-margin training of structured predictors for natural language processing (2015, background): “For many years, this meant a correspondingly exponential growth in computing power, on which developers came to depend in order to make their programs run faster (Sutter, 2005).”
- Using OpenMP - portable shared memory parallel programming (2007, background): “Moreover, it is almost a fact that all software will tend to be parallel at least in multiprocessors, since there is no other way to get better final performance for applications [1].”