10 papers · ranked by Valyu relevance
C. R. Harris, K. Jarrod Millman, Stéfan van der Walt, Ralf Gommers + 22 more
'Pauli Virtanen' 'David Cournapeau' 'Eric Wieser' 'Julian Taylor' 'Sebastian Berg' 'Nathaniel J. Smith' 'Robert Kern' 'Matti Picus' 'Stephan Hoyer' 'M. H. van Kerkwijk' 'Matthew Brett' 'Allan Haldane' 'Jaime Fernández del Río' 'Mark Wiebe' 'Pearu Peterson' 'P Gerard-Marchant' 'Kevin Sheppard' 'Tyler Reddy' 'Warren…
Beatrice Åkerblom, Elias Castegren, Tobias Wrigstad
The array is a fundamental data structure that provides an efficient way to store and retrieve non-sparse data contiguous in memory. Arrays are important for the performance of many memory-intensive applications due to the design of modern memory hierarchies: contiguous storage facilitates spatial locality and…
Craig Rasmussen, Matthew Sottile, Daniel J. Nagle, Søren Rasmussen
Emerging hybrid accelerator architectures for high performance computing are often suited for the use of a data-parallel programming model. Unfortunately, programmers of these architectures face a steep learning curve that frequently requires learning a new language (e.g., OpenCL). Furthermore, the distributed (and…
Marco T. Morazán
Vector programming is an important topic in many Introduction to Computer Science courses. Despite the importance of vectors, learning vector programming is a source of frustration for many students. Much of the frustration is rooted in discovering the source of bugs that are manifested as out-of-bounds indexing. The…
Jan C. Dageförde, Herbert Kuchen
Constraint-logic object-oriented programming provides a useful symbiosis between object-oriented programming and constraint-logic search. The ability to use logic variables, constraints, non-deterministic search, and object-oriented programming in an integrated way facilitates the combination of search-related program…
Patrik Christen
—This study explores running times of different ways to program cellular automata in C and C++, i.e. looping through arrays by different means, the effect of structures and objects, and the choice of data structure (array versus vector in C++) and compiler (GNU gcc versus Apple clang). Using arrays instead of vectors…
Hasan M. Jamil
With the future likely to see even more pervasive computation, computational thinking (problem-solving skills incorporating computing knowledge) is now being recognized as a fundamental skill needed by all students. Computational thinking is conceptualizing as opposed to programming, promotes natural human thinking…
Chin Hong Ooi, Nam-Trung Nguyen, Gregor Kijanka
Protein arrays are systematically arranged, large collections of annotated proteins on planar surfaces commonly used for the characterisation of protein binding events against a wide range of possible probes. These may include analyses of protein-protein, peptide-protein, enzyme-substrate or antibody-antigen…
Jürgen Behr, Timm Michel, Maya Giridhar, Santra Santhosh + 11 more
Large- to ultra-large-scale synthesis of nucleic acids is becoming an increasingly important tool for understanding and manipulating biological systems, as well as for developing new technologies based on engineered biological materials, including DNA-based nanofabrication, aptamers and writing digital data at the…
Paul Morris, Cory Simon
In many gas sensing tasks, we simply wish to become aware of gas compositions that deviate from normal, "business-as-usual" conditions. We provide a methodology, illustrated by example, to computationally predict the performance of a gas sensor array design for detecting anomalous gas compositions. Specifically, we…