6 papers · ranked by Valyu relevance
Karame Mohammadiporshokooh, Steven R. Brandt, R. Tohid, Hartmut Kaiser
'Hartmut Kaiser'] Abstract. C++ Executors simplify the development of parallel algorithms by abstracting concurrency management across hardware architectures. They are designed to facilitate portability and uniformity of user-facing interfaces; however, in some cases they may lead to performance inefficiencies due to…
Jesper Larsson Träff
These lecture notes are designed to accompany an imaginary, virtual, undergraduate, one or two semester course on fundamentals of Parallel Computing as well as to serve as background and reference for graduate courses on High-Performance Computing, parallel algorithms and shared-memory multiprocessor programming. They…
Chuan-Chi Wang, Chun‐Yen Ho, Chia-Heng Tu, Shih‐Hao Hung
Particle Swarm Optimization (PSO) is a stochastic technique for solving the optimization problem. Attempts have been made to shorten the computation times of PSO based algorithms with massive threads on GPUs (graphic processing units), where thread groups are formed to calculate the information of particles and the…
Rabab Alkhalifa, Fatima Alkhomayes, Boushra Almazroua, Dana Alhaidan + 2 more
'Maryam Alothman' 'Jumana Almuhaidib'] The Traveling Salesman Problem (TSP) is a well-known NP-hard combinatorial optimization problem with wide-ranging applications in logistics, routing, and intelligent systems. Due to its factorial complexity, solving large-scale instances requires scalable and efficient algorithmic…
S.E. Tavares, Carmo P. Brás, A. L. Custódio, Vítor Duarte + 1 more
'Pedro D. Medeiros'] Direct Multisearch (DMS) is a Derivative-free Optimization class of algorithms suited for computing approximations to the complete Pareto front of a given Multiobjective Optimization problem. It has a well-supported convergence analysis and simple implementations present a good numerical…
Shuhei Watanabe, Neeratyoy Mallik, Edward M. Bergman, Frank Hutter
Zero-Cost Benchmarks Authors: ['Shuhei Watanabe' 'Neeratyoy Mallik' 'Edward M. Bergman' 'Frank Hutter'] Abstract While deep learning has celebrated many successes, its results often hinge on the meticulous selection of hyperparameters (HPs). However, the time-consuming nature of deep learning training makes HP…