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Control Structures
Decisions made on the results of an abstract rule-based organization of information are the foundations of everything. For humans, decisions...
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Memory Based Temporal Fusion Network for Video Deblurring
Video deblurring is one of the most challenging vision tasks because of the complex spatial-temporal relationship and a number of uncertainty factors...
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Bioinspired sensing-memory-computing integrated vision systems: biomimetic mechanisms, design principles, and applications
With the explosion of sensory data in the Internet of Things (IoT) era, conventional machine vision systems are becoming increasingly difficult to...
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An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory
Unified virtual memory (UVM) improves GPU programmability by enabling on-demand data movement between CPU memory and GPU memory. However, due to the...
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Hash Tables on Non-Volatile Memory
This chapter surveys hashing techniques for NVM. Hash tables on NVM also have to depart from traditional in-memory or on-disk hashing architectures...
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Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity
In the realm of cybersecurity, the detection and analysis of obfuscated malware remain a critical challenge, especially in the context of memory...
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In-memory computing with emerging nonvolatile memory devices
The von Neumann bottleneck and memory wall have posed fundamental limitations in latency and energy consumption of modern computers based on von...
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Efficient memory reuse methodology for CNN-based real-time image processing in mobile-embedded systems
Real-time image processing applications such as intelligent security and traffic management requires pattern recognition tasks, such face...
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nmODE: neural memory ordinary differential equation
Brain neural networks are regarded as dynamical systems in neural science, in which memories are interpreted as attractors of the systems....
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Parallelizable Simple Recurrent Units with Hierarchical Memory
Recurrent neural networks and its many variants have been widely used in language modeling, text generation, machine translation, speech recognition...
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State-based episodic memory for multi-agent reinforcement learning
Multi-agent reinforcement learning (MARL) algorithms have made promising progress in recent years by leveraging the centralized training and...
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STMT: Spatio-temporal memory transformer for multi-object tracking
Typically, modern online Multi-Object Tracking (MOT) methods first obtain the detected objects in each frame and then establish associations between...
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Distributed-Memory FastFlow Building Blocks
We present the new distributed-memory run-time system (RTS) of the C++-based open-source structured parallel programming library FastFlow . The new...
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A C++ Library for Memory Layout and Performance Portability of Scientific Applications
We present a C++14 library for performance portability of scientific computing codes across CPU and GPU architectures. Our library combines generic...
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DAOS Beyond Persistent Memory: Architecture and Initial Performance Results
The Distributed Asynchronous Object Storage (DAOS) is an open source scale-out storage system that is designed from the ground up to support Storage...
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Working Memory for Online Memory Binding Tasks: A Hybrid Model
Working memory is the brain module that holds and manipulates information online. In this work, we design a hybrid model in which a simple...
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Stacked dynamic memory-coattention network for answering why-questions in Arabic
Answering non-factoid questions, especially why -questions, poses a challenge for traditional question answering systems (QASs) that are predominantly...
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Design memristor-based computing-in-memory for AI accelerators considering the interplay between devices, circuits, and system
Recent advances in develo** beyond von Neumann architectures have moved the memristive devices to the forefront as one of the key enablers to...
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A new approach for detecting process injection attacks using memory analysis
This paper introduces a new approach for examining and analyzing fileless malware artifacts in computer memory. The proposed approach offers the...
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Cache Memory and On-Chip Cache Architecture: A Survey
Presently, one of the most essential performance of new multicore CPUs is processing speed. Various components, including cache, are employed to...