• XGBoost

  • Referenced in 125 articles [sw21035]
  • XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible ... Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that...
  • Hyperopt

  • Referenced in 49 articles [sw19219]
  • Distributed Asynchronous Hyper-parameter Optimization. Hyperopt is a Python library for serial and parallel optimization...
  • SPIRAL

  • Referenced in 48 articles [sw00903]
  • optimized implementations on a variety of platforms including SSE, multicore, Cell, GPU, distributed memory parallel...
  • GridSim

  • Referenced in 49 articles [sw01392]
  • modeling and simulation of entities in parallel and distributed computing (PDC) systems-users, applications, resources ... processor or multi-processor with shared or distributed memory and managed by time or space ... policies for mapping jobs to resources to optimize system or user objectives depending on their...
  • PIKAIA

  • Referenced in 11 articles [sw04744]
  • parallel genetic algorithm for objective global optimization. Genetic algorithms are a class of heuristic search ... designed a fully parallel and distributed hardware/software implementation of the generalized optimization subroutine PIKAIA, which ... provide an objective determination of the globally optimal parameters for a given model against ... observations of their oscillation frequencies. The efficient, parallel exploration of parameter-space made possible...
  • DibaP

  • Referenced in 15 articles [sw08343]
  • Monien, S. Schamberger, Accelerating shape optimizing load balancing for parallel FEM simulations by algebraic multigrid ... Proceedings of the 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS’06, IEEE Computer ... Society, 2006, p. 57 (CD)], which optimizes partition shapes by a diffusive mechanism. However ... also contains a high degree of parallelism. By coupling TruncCons with Bubble...
  • OPTIMAS

  • Referenced in 17 articles [sw07605]
  • code OPTIMAS -- OPTIMization of Aerodynamic Shapes). The optimization method employs genetic algorithms in combination with ... embedded parallelization strategy, which efficiently makes use of computational power supplied by massively parallel processors ... processors distributed memory cluster) include various three-dimensional optimizations in the presence of nonlinear constraints ... approach combines high accuracy of optimization with high parallel efficiency, and thus allows application...
  • VTDIRECT95

  • Referenced in 11 articles [sw05290]
  • implementation of D. R. Jones’ deterministic global optimization algorithm called DIRECT, which is widely used ... data-distributed massively parallel code for different problem scales and optimization (exploration vs. exploitation) goals...
  • HOPSPACK

  • Referenced in 12 articles [sw04187]
  • framework. The framework enables parallel operation using MPI (for distributed machine architectures) and multithreading ... single machines with multiple processors or cores). Optimization problems can be very general: functions...
  • ARock

  • Referenced in 30 articles [sw16800]
  • asynchronous parallel fashion. Asynchrony is crucial to parallel computing since it reduces synchronization wait, relaxes ... linear systems, convex optimization, and machine learning, as well as distributed and decentralized consensus problems...
  • COCONUT

  • Referenced in 40 articles [sw04760]
  • converters and the two available global optimization solvers. For more information on obtaining the COCONUT ... special license regulations are contained in the distribution, and they can be read here ... removed. In addition, it is designed for distributed computing, and will probably be developed further ... COCONUT project) to support parallel computing as wel! l. The solution algorithm is an advanced...
  • GATK

  • Referenced in 17 articles [sw12019]
  • common data management infrastructure enables us to optimize the GATK framework for correctness, stability ... memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities...
  • Quantum Espresso

  • Referenced in 52 articles [sw06129]
  • Research in Electronic Structure, Simulation, and Optimization. It is freely available to researchers around ... focus, with special attention paid to massively parallel architectures, and a great effort being devoted ... friendliness. QUANTUM ESPRESSO is evolving towards a distribution of independent and interoperable codes...
  • PELCR

  • Referenced in 5 articles [sw20841]
  • Lévy’s optimal reduction for the λ-calculus on parallel (or distributed) computing systems ... refer to as PELCR (parallel environment for optimal lambda-calculus reduction), relies on a strategy ... communication overhead, and a fair policy for distributing dynamically originated load among processors. We also ... ability of PELCR to definitely exploit the parallelism intrinsic to λ-terms while performing...
  • ZRAM

  • Referenced in 38 articles [sw01038]
  • search bench ZRAM and its applications Distributed and parallel computation is, on the one hand ... increase raw computing power. Turning parallelism into a useful tool for solving new problems ... challenges to computer science. We believe that parallel computation will spread among general users mostly ... algorithms. This narrow focus permits developers to optimize algorithms, once and for all, for parallel...
  • ParaSCIP

  • Referenced in 30 articles [sw06292]
  • important techniques in Operations Research and Discrete Optimization. SCIP (Solving Constraint Integer Programs) is currently ... SCIP, which realizes a parallelization on a distributed memory computing environment. ParaSCIP uses SCIP solvers...
  • HiFlow3

  • Referenced in 8 articles [sw06354]
  • distributed data structures, and fine-grained parallelism by means of platform-optimized linear algebra back...
  • PetFMM

  • Referenced in 7 articles [sw06828]
  • distributed as open source. It can be used either in serial or parallel mode ... load balancing, based on an optimizing strategy for distribution of work among processors...
  • SOLAR

  • Referenced in 17 articles [sw08711]
  • using an optimized matrix input-output library. SOLAR works on parallel computers, workstations, and personal ... core computations on both shared-memory and distributed-memory machines, and its matrix input-output...
  • IFP-C3D

  • Referenced in 5 articles [sw09125]
  • parallelized using the Message Passing Interface (MPI) library to distribute calculation over a large number ... processors. Moreover, IFP-C3D uses an optimized linear algebraic library to solve linear matrix systems...