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most citedHermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction

1 citations · 1 across the 2 of their papers we have counts for

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cs.AR2025

DRAM Bender: An Extensible and Versatile FPGA-based Infrastructure to Easily Test State-of-the-art DRAM Chips

Ataberk Olgun, Hasan Hassan, A. Giray Yağlıkçı +6

To understand and improve DRAM performance, reliability, security and energy efficiency, prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art…

cs.AR2025

Self-Managing DRAM: A Low-Cost Framework for Enabling Autonomous and Efficient in-DRAM Operations

Hasan Hassan, Ataberk Olgun, A. Giray Yaglikci +2

The memory controller is in charge of managing DRAM maintenance operations (e.g., refresh, RowHammer protection, memory scrubbing) to reliably operate modern DRAM chips. Implementi…

cs.AR2025

AgileWatts: An Energy-Efficient CPU Core Idle-State Architecture for Latency-Sensitive Server Applications

Jawad Haj Yahya, Haris Volos, Davide B. Bartolini +9

User-facing applications running in modern datacenters exhibit irregular request patterns and are implemented using a multitude of services with tight latency requirements. These c…

cs.AR2025

A Modern Primer on Processing in Memory

Onur Mutlu, Saugata Ghose, Juan Gómez-Luna +3

This paper discusses recent research that aims to enable computation close to data, an approach we broadly call processing-in-memory (PIM). PIM places computation mechanisms in or…

cs.AR2025

pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables

João Dinis Ferreira, Gabriel Falcao, Juan Gómez-Luna +8

Data movement between the main memory and the processor is a key contributor to execution time and energy consumption in memory-intensive applications. This data movement bottlenec…