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Collective memory: between individual systems of consciousness and social systems
Frontiers in Psychology, 2023 Following a long period of neglect, research on different facets of collective memory is now developing apace in the human and social sciences, as well as at their interface with psychology and neuroscience.
Jean-François Orianne +2 more
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Shared Memory Transport for ALFA [PDF]
EPJ Web of Conferences, 2019 The high data rates expected for the next generation of particle physics experiments (e.g.: new experiments at FAIR/GSI and the upgrade of CERN experiments) call for dedicated attention with respect to design of the needed computing infrastructure.
Rybalchenko Alexey +3 more
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Interface Automata for Shared Memory [PDF]
Acta Informatica, 2021 AbstractInterface theories based on Interface Automata (IA) are formalisms for the component-based specification of concurrent systems. Extensions of their basic synchronization mechanism permit the modelling of data, but are studied in more complex settings involving modal transition systems or do not abstract from internal computation.
Ayleen Schinko +4 more
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SOTPM: Software One-Time Programmable Memory to Protect Shared Memory on ARM Trustzone
IEEE Access, 2021 In ARM TrustZone-based architecture, shared memory is one of the most useful schemes to enable isolated execution environments supported by TrustZone to communicate between environments.
Dongwook Shim, Dong Hoon Lee
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Data structures access model for remote shared memory [PDF]
E3S Web of Conferences, 2021 Recent achievements in high-performance computing significantly narrow the performance gap between single and multi-node computing, and open up opportunities for systems with remote shared memory.
Nyrkov Anatoliy +4 more
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Knowledge in shared memory systems [PDF]
Distributed Computing, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michael Merritt, Gadi Taubenfeld
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IEEE Access, 2018 Deep learning is one of the major promising machine learning methodologies. Deep learning is widely used in various application domains, e.g., image recognition, voice recognition, and natural language processing.
Shinyoung Ahn +3 more
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Shared-Memory Parallel Maximal Clique Enumeration [PDF]
, 2018 We present shared-memory parallel methods for Maximal Clique Enumeration (MCE) from a graph. MCE is a fundamental and well-studied graph analytics task, and is a widely used primitive for identifying dense structures in a graph.
Das, Apurba +3 more
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MsBV: A Memory Compression Scheme for Bit-Vector-Based Classification Lookup Tables
IEEE Access, 2020 Packet classification is widely used in Software-Defined Networking (SDN). At present, packet classification is mainly implemented by software, such as OpenvSwitch, which has the disadvantage of low performance. On the Field Programmable Gate Array (FPGA)
Zilin Shi +5 more
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Interdomain I/O Optimization in Virtualized Sensor Networks
Sensors, 2018 In virtualized sensor networks, virtual machines (VMs) share the same hardware for sensing service consolidation and saving power. For those VMs that reside in the same hardware, frequent interdomain data transfers are invoked for data analytics, and ...
Congfeng Jiang +6 more
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