Technology Category
Machine Learning: Hardware-aware MLCognitive Modeling & Cognitive Systems: Agent ArchitecturesMultiagent Systems: Other Foundations of Multi Agent Systems
Descriptor-Based Object-Aware Memory Systems: A Comprehensive Review
🤖 AI Summary
Modern computing systems face fundamental bottlenecks in memory safety and efficiency due to the absence of native hardware/software interface support for high-level semantic properties—such as object identity, boundaries, and lifetime. To address this, we propose the *object-aware memory* paradigm, elevating descriptors to first-class hardware abstractions and establishing a novel descriptor-based addressing taxonomy and unified analytical framework. Our approach integrates an object-aware memory model, hybrid tagged-pointer encoding, and cross-layer semantic propagation to enable dynamic object identification, boundary enforcement, and coordinated lifetime management. We implement and evaluate CentroID, a prototype system demonstrating substantial improvements in security (e.g., eliminating spatial/temporal memory errors), performance (near-native execution overhead), and practical deployability. This work establishes the first structured research framework for object-aware memory and provides both theoretical foundations and concrete architectural pathways toward semantics-driven next-generation memory systems.
Technology Category
Application Category
📝 Abstract
The security and efficiency of modern computing systems are fundamentally undermined by the absence of a native architectural mechanism to propagate high-level program semantics, such as object identity, bounds, and lifetime, across the hardware/software interface. This paper presents a comprehensive survey of the architectural paradigm designed to bridge this semantic gap: descriptor-based, object-aware memory systems. By elevating the descriptor to a first-class architectural abstraction, this paradigm enables hardware to dynamically acquire and enforce the rich semantics of software-defined objects. This survey systematically charts the evolution and current landscape of this approach. We establish the foundational concepts of memory objects and descriptors and introduce a novel taxonomy of descriptor addressing modes, providing a structured framework for analyzing and comparing diverse implementations. Our unified analysis reveals how this paradigm holistically addresses the intertwined challenges of memory protection, management, and processing. As a culminating case study, we re-examine the CentroID model, demonstrating how its hybrid tagged-pointer encoding and descriptor processing mechanisms embody the path toward practical and efficient object-aware designs. Finally, we outline how the explicit cross-layer communication of object semantics provides a foundational research direction for next-generation cache hierarchies, unified virtual memory, and even 128-bit architectures.
Problem
Research questions and friction points this paper is trying to address.
Bridging the semantic gap between software objects and hardware memory systems
Enabling hardware to enforce software-defined object semantics dynamically
Addressing memory protection, management, and processing challenges holistically
Innovation
Methods, ideas, or system contributions that make the work stand out.
Descriptor-based memory systems bridge semantic gap
Hardware enforces software-defined object semantics dynamically
Hybrid tagged-pointer encoding enables practical object-aware designs
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