20 results for “Understanding of DRAM concepts”
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F. Nisa Bostanci, Haocong Luo, Ataberk Olgun, Maria Makeenkova +3 more
The authors of Ramulator 2.0 simulator challenge the claims made in a research paper about its performance and propose best practices to avoid simulator usage errors.
Zilong Hu, Hongming Fei, Prosanta Gope, Jack Miskelly +2 more
The paper introduces a quantitative, cell-level circuit framework to model DRAM vulnerability by linking physical charge leakage and disturbance pathways to system-level security properties like volat…
Haocong Luo, F. Nisa Bostancı, Ataberk Olgun, Maria Makeenkova +3 more
Ramulator 2.1 is an updated DRAM simulator with improved support for modern features, better usability, and comprehensive testing.
This paper proposes a method for selecting optimal error-correction codes (ECCs) for gain-cell embedded dynamic random-access memory (GCRAM) to minimize power consumption under a yield constraint.
Bing Wu, Xueliang Wei, Shiyi Song, Yibo Liu +5 more
The paper introduces PATH, an in-situ indexing architecture for Processing-in-Memory systems that achieves higher throughput, lower tail latency, and fewer memory accesses than state-of-the-art scheme…
Jumin Kim, Seungmin Baek, Hwayong Nam, Minbok Wi +2 more
The paper introduces PVAC, a novel victim-based row counting mechanism that accurately tracks RowHammer attacks by incrementing counters on the victim row, thereby improving hammering tolerance and pe…
This paper investigates the potential of real-world Processing-in-Memory (PIM) architectures, specifically using UPMEM, to accelerate cryptographic algorithms, demonstrating that distributing computat…
The paper proposes PrISM, an intersection-based probabilistic mitigation technique that significantly improves the scalability of RowHammer defense at low thresholds by correlating sampled row history…
Junyi Yang, Shuai Dong, Zhengnan Fu, Hongyang Shang +1 more
The paper proposes a highly reconfigurable 256x128 in-memory computing array that significantly improves efficiency and performance for analog computing by introducing novel components for ADC, weight…
The paper analyzes the bit-flip vulnerability of shared KV-cache blocks in LLM serving systems, demonstrating that these blocks are susceptible to silent, persistent, and selective data corruption.
This paper characterizes per-bit-position fault sensitivity in machine learning inference across various workloads and floating-point formats, identifying a sharp bit-sensitivity transition and derivi…
The paper characterizes 'dead-entry' TLB misses in GPUs, which occur when recently evicted translations are immediately re-walked, and proposes DEPOT, a Bloom filter mechanism that significantly reduc…
This paper proposes effective constrained coding solutions to the sneak-path problem in resistive random access memories (ReRAMs) using GF$(4)$ and GF$(8)$ codes.
SangHoon Cha, Jaewan Choi, Byeongho Kim, Yoonah Paik +2 more
This paper introduces a high-fidelity, integrated hardware-software simulator for LPDDR5X-PIM, enabling precise evaluation of system performance and energy efficiency.
This paper introduces DiStash, a disaggregated transactional key-value store that enables an application to use a single transaction to manage key-value pairs across different pools of stashes, preven…
Pritam Dash, Tongyu Ge, Aditi Jain, Tanmay Shah +1 more
This paper systematically studies memory poisoning attacks in LLM agents, identifying multiple vulnerabilities and proposing a new benchmark to assess the risk.
This paper analyzes data-access cost in a memory hierarchy and shows it scales with the fourth root of data size, predicting scalability.