Results 11 to 20 of about 37,551,526 (314)

Pronto: Easy and Fast Persistence for Volatile Data Structures

open access: yesInternational Conference on Architectural Support for Programming Languages and Operating Systems, 2020
Non-Volatile Main Memories (NVMMs) promise an opportunity for fast, persistent data structures. However, building these data structures is hard because their data must be consistent in the wake of a failure.
Amirsaman Memaripour   +2 more
semanticscholar   +1 more source

THE USE OF DYNAMIC DATA PROCESSING STRUCTURES ON THE EXAMPLE OF LIST TRANSFORMATION TASKS

open access: yesСовременная наука и инновации, 2022
Introduction Information processing is a key operation with information. In this regard, the study mainstreams the issue of choosing the structural organisation of data for the purposes of organising the processing operation.
D. V. Zdor
doaj   +1 more source

Optimal Joins Using Compact Data Structures [PDF]

open access: yes, 2020
Worst-case optimal join algorithms have gained a lot of attention in the database literature. We now count with several algorithms that are optimal in the worst case, and many of them have been implemented and validated in practice.
Navarro, Gonzalo   +2 more
core   +2 more sources

A New Approach to Parallel Processing

open access: yesIEEE Access, 2020
The Application Space Architecture (ASA) defines parallel processor design as an adjunct to the Instruction Set Architectures (ISA) defined by Von Neumann for single processors.
William C. Cave   +5 more
doaj   +1 more source

A Scalable Data Structure for Efficient Graph Analytics and In-Place Mutations

open access: yesData, 2023
The graph model enables a broad range of analyses; thus, graph processing (GP) is an invaluable tool in data analytics. At the heart of every GP system lies a concurrent graph data structure that stores the graph. Such a data structure needs to be highly
Soukaina Firmli, Dalila Chiadmi
doaj   +1 more source

Lower Bounds for Oblivious Data Structures [PDF]

open access: yesACM-SIAM Symposium on Discrete Algorithms, 2018
An oblivious data structure is a data structure where the memory access patterns reveals no information about the operations performed on it. Such data structures were introduced by Wang et al.
R. Jacob   +2 more
semanticscholar   +1 more source

QuaSiMo: A composable library to program hybrid workflows for quantum simulation

open access: yesIET Quantum Communication, 2021
A composable design scheme is presented for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation.
Thien Nguyen   +9 more
doaj   +1 more source

Query Processing in Blockchain Systems: Current State and Future Challenges

open access: yesFuture Internet, 2021
When, in 2008, Satoshi Nakamoto envisioned the first distributed database management system that relied on cryptographically secured chain of blocks to store data in an immutable and tamper-resistant manner, his primary use case was the introduction of a
Dennis Przytarski   +3 more
doaj   +1 more source

Data Structures for Statistical Computing in Python

open access: yesSciPy, 2010
In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental ...
Wes McKinney
semanticscholar   +1 more source

An Efficient Backward/Forward Sweep Algorithm for Power Flow Analysis through a Novel Tree-Like Structure for Unbalanced Distribution Networks

open access: yesEnergies, 2021
The increase of distributed energy resources (DERs) in low voltage (LV) distribution networks requires the ability to perform an accurate power flow analysis (PFA) in unbalanced systems.
Stefanos Petridis   +5 more
doaj   +1 more source

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