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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.AR2026

Valinor: Architectural Support for Fast, Energy-Efficient and Programmable Physical Memory Allocation

Konstantinos Kanellopoulos, Spiros Galanopoulos, Konstantinos Sgouras +7

Valinor is a hardware‑OS cooperative substrate that provides a programmable allocation engine to accelerate physical memory allocation, achieving hardware‑level speed while retaini…

cs.AR2026

Revelator: Rapid Data Fetching via System-Software-Guided Hash-based Speculative Address Translation

Konstantinos Kanellopoulos, Konstantinos Sgouras, Harsh Songara +7

Address translation is a major performance bottleneck in modern computing systems. Predicting the physical address (PA) of requested data before address translation completes can h…

cs.CR2026

ColumnKeeper: Efficient Solutions to the ColumnDisturb Vulnerability in DRAM-based Systems

Andreas Kosmas Kakolyris, F. Nisa Bostanci, Ataberk Olgun +7

Modern DRAM chips are vulnerable to read disturbance phenomena such as RowHammer and RowPress, which induce bitflips after accessing nearby rows a certain number of times (the read…

cs.AR2026

Harmonia: Enhancing Data Placement and Migration in Hybrid Storage Systems via Multi-Agent Reinforcement Learning

Rakesh Nadig, Vamanan Arulchelvan, Rahul Bera +7

Modern high-performance computing (HPC) environments rely on hybrid storage systems (HSS) that combine multiple storage devices with diverse latency, bandwidth, endurance, and capa…

cs.AR2026

Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives

Rakesh Nadig, Vamanan Arulchelvan, Mayank Kabra +9

Solid-state drives (SSDs) are well suited for near-data processing (NDP) because they: (1) store large application datasets, and (2) support three NDP paradigms: in-storage process…

cs.DC2025

SLO-aware GPU Frequency Scaling for Energy Efficient LLM Inference Serving

Andreas Kosmas Kakolyris, Dimosthenis Masouros, Petros Vavaroutsos +2

As Large Language Models (LLMs) gain traction, their reliance on power-hungry GPUs places ever-increasing energy demands, raising environmental and monetary concerns. Inference dom…