Expertini Research Research

Browse Research Papers

16,353+ open-access research outputs.

โœ• Clear
๐Ÿ” memory ๐Ÿ“‚ Computer Science
Showing 16353 results for "memory" in Computer Science
Computer Science Preprint PDF DOI

Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks

Nges Brian Njungle, Eric Jahns, Michel A. Kinsy ยท 2026

Privacy-preserving machine learning (PPML) has become increasingly important in applications where sensitive data must remain confidential. Homomorphic Encryption (HE) enables computation directly on โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

FliX: Flipped-Indexing for Scalable GPU Queries and Updates

Rosina Kharal, Trevor Brown, Justus Henneberg, Felix Schuhknecht ยท 2026

GPU-based concurrent data structures (CDSs) achieve high throughput for read-only queries, but efficient support for dynamic updates on fully GPU-resident data remains challenging. Ordered CDSs (e.g.,โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs

Jun-Liang Lin, Kamesh Madduri, Mahmut Taylan Kandemir ยท 2026

Graph foundation models have demonstrated remarkable adaptability across diverse downstream tasks through large-scale pretraining on graphs. However, existing implementations of the backbone model, grโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Glitch in the Sky: Exploiting Voltage Fault Injection in UAV Flight Controllers

Yun-Ping Hsiao, Yanda Li, Youssef Gamal, Halima Bouzidi, Mohammad Abudllah Al Faruque ยท 2026

As Cyber-Physical Systems (CPS) become increasingly pervasive and autonomous, ensuring the resilience of their embedded logic is critical to maintaining safety and integrity. Among the most stealthy aโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

KAIROS: Stateful, Context-Aware Power-Efficient Agentic Inference Serving

Yichao Yuan, Mosharaf Chowdhury, Nishil Talati ยท 2026

Power has become a central bottleneck for AI inference. This problem is becoming more urgent as agentic AI emerges as a major workload class, yet prior power-management techniques focus almost entirelโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

MOMENTA: Mixture-of-Experts Over Multimodal Embeddings with Neural Temporal Aggregation for Misinformation Detection

Yeganeh Abdollahinejad, Ahmad Mousavi, Naeemul Hassan, Kai Shu, Nathalie Japkowicz, Shahriar Khosravi, Amir Karami ยท 2026

The widespread dissemination of multimodal content on social media has made misinformation detection increasingly challenging, as misleading narratives often arise not only from textual or visual contโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Fast and Memory Efficient Multimodal Journey Planning with Delays

Denys Katkalo, Andrii Rohovyi, Toby Walsh ยท 2026

State-of-the-art multimodal journey-planning algorithms, such as ULTRA, have recently been adapted to account for delays. In this work, we extend this approach to be more memory-efficient, faster, andโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

VLSF Decoding with Reliability Guarantees over Correlated Noncoherent Fading Channels

Guodong Sun, Samir M. Perlaza, Philippe Mary, Jean-Marie Gorce ยท 2026

This paper studies reliability-guaranteed decoding for variable-length stop-feedback (VLSF) codes over correlated noncoherent fading channels. The decoding rule is based on the evolution of the informโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Evaluating SYCL as a Unified Programming Model for Heterogeneous Systems

Ami Marowka ยท 2026

High-performance computing (HPC) applications are increasingly executed in heterogeneous environments, introducing new challenges for programming and software portability. SYCL has emerged as a leadinโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

MemExplorer: Navigating the Heterogeneous Memory Design Space for Agentic Inference NPUs

Haoran Wu, Zeyu Cao, Yao Lai, Binglei Lou, Jiayi Nie, Can Xiao, Timi Adeniran, Przemyslaw Forys, Kauser Johar, Catriona Wright, Junyi Liu, Kai Shi, Nicholas D. Lane, Rika Antonova, Jianyi Cheng, Timothy Jones, Aaron Zhao, Robert Mullins ยท 2026

Emerging agentic LLM workloads are driving rapidly growing demand on both memory capacity and bandwidth, with different phases of inference (e.g., prefill and decode) imposing distinct requirements. Iโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

jMT: Testing Correctness of Java Memory Models (Extended Version)

Lukas Panneke, Heike Wehrheim ยท 2026

Folklore is often saying "The Java memory model is broken." Therefore, several approaches have proposed repairs, only to find new programs exhibiting unexpected, unintuitive behavior or the model forbโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration

Bas Ahn, Xingjian Tao, Manil Dev Gomony, Marc Geilen, Henk Corporaal ยท 2026

Large Language Models (LLMs) such as LLaMA and DeepSeek, are built on transformer architectures, which have become a standard model for achieving state-of-the-art performance in natural language proceโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Low-Stack HAETAE for Memory-Constrained Microcontrollers

Gustavo Banegas (LIX, GRACE), Kim Youngbeom, Seo Seog Chung, Vredendaal Christine Van ยท 2026

We present a low-stack implementation of the module-lattice signature scheme HAETAE, targeting microcontrollers with 8 kB-16 kB of available SRAM. On such devices, peak stack usage is often the bindinโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Polynomial Multiproofs for Scalable Data Availability Sampling in Blockchain Light Clients

Rachit Anand Srivastava, Vikram Bhattacharjee, Will Arnold, Toufeeq Pasha ยท 2026

Light clients are essential for scalable blockchain systems because they verify data availability without downloading full blocks. In data availability sampling based systems, sampled cells are retrieโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Secure Authentication in Wireless IoT: Hamming Code Assisted SRAM PUF as Device Fingerprint

Florian Lehn, Pascal Ahr, Hans D. Schotten ยท 2026

Static Random Access Memory (SRAM) Physically Unclonable Functions (PUFs) make use of intrinsic manufacturing variations in memory cells to derive device-unique responses. Employing such hardware-rootโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States

Daran Sun, Bowen Kan, Haoquan Long, Hairui Zhao, Haoxu Li, Yicheng Liu, Pengyu Zhou, Ankang Feng, Wenjing Huang, Yida Gu, Zhenyu Li, Honghui Shang, Yunquan Zhang, Dingwen Tao, Ninghui Sun, Guangming Tan ยท 2026

AI-driven methods have demonstrated considerable success in tackling the central challenge of accurately solving the Schr\"odinger equation for complex many-body systems. Among neural network quantum โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

PoSME: Proof of Sequential Memory Execution via Latency-Bound Pointer Chasing with Causal Hash Binding

David L. Condrey ยท 2026

We introduce PoSME (Proof of Sequential Memory Execution), a cryptographic primitive that enforces sustained sequential computation via latency-bound pointer chasing over a mutable arena. Each step reโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

A Survey on the Security of Long-Term Memory in LLM Agents: Toward Mnemonic Sovereignty

Zehao Lin, Chunyu Li, Kai Chen ยท 2026

Research on large language model (LLM) security is shifting from "will the model leak training data" to a more consequential question: can an agent with persistent, long-term memory be continuously shโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Overmind NSA: A Unified Neuro-Symbolic Computing Architecture with Approximate Nonlinear Activations and Preemptive Memory Bypass

Weilun Wang, Zirui Wang, Wantong Li ยท 2026

Neuro-symbolic AI is gaining traction in domains such as large language models, scientific discovery, and autonomous systems due to its ability to combine perception with structured reasoning. Howeverโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Towards Topology-Aware Very Large-Scale Photonic AI Accelerators

Belal Jahannia, Abdolah Amirany, Hamed Dalir ยท 2026

The rapid growth of deep neural networks (DNNs) has exposed fundamental limitations in electronic accelerators, where data movement dominates energy consumption, commonly referred to as the memory walโ€ฆ

Read Paper โ†’
โ† Prev Page 8 of 818 Next โ†’