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Sometime in 2019, MIT PhD student Ajay Brahmakshatriya formulated a simple, though still quite challenging, goal. He wanted to make it possible for people who had expertise in a particular domain — su...
A Cornell team has created an interface that allows users to handwrite and sketch within computer code – a challenge to conventional coding, which typically relies on typing.
Moore’s Law needs a hug. The days of stuffing transistors on little silicon computer chips are numbered, and their life rafts — hardware accelerators — come with a price.
High-performance computing is needed for an ever-growing number of tasks — such as image processing or various deep learning applications on neural nets — where one must plow through immense piles of ...
华南理工大学数据结构与算法课件Chapter13 Dynamic Programming
Swarm robotics is a discipline that studies fully decentralized approaches for the coordination of large-scale teams of robots (swarms). Research in this field is ambitious: robot swarms are envisione...
A study comparing acceptance rates of contributions from men and women in an open-source software community finds that, overall, women’s contributions tend to be accepted more often than men’s – but w...
云南农业大学计算机导论课件Chapter9 Programming Languages.
Nobody said computer programming was easy. But maybe in the future, it could be.In order to simplify program development, a National Science Foundation (NSF)-supported project called Expeditions in Co...
We present Sequoia, a programming language designed to facilitate the development of memory hierarchy aware parallel programs that remain portable across modern machines featuring different memory hie...
We describe two novel constructs for programming parallel machines with multi-level memory hierarchies: call-up, which allows a child task to invoke computation on its parent, and spawn, which spawns ...
We present Regent, a high-productivity programming language for high performance computing with logical regions. Regent users compose programs with tasks (functions eligible for parallel execution) an...
We describe an efficient method for solving an optimal control problem that arises in robust model-predictive control. The problem is to design the input sequence that minimizes the peak tracking erro...

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