20 results for “DRAM”
CS papers onlyHybrid search: Keyword + semantic, ranked by combined score.ⓘ
Want pure semantic search? Try claim verification →
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.
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…
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.
Tessera introduces a novel hardware architecture that achieves secure, near-line-rate weight streaming for DNNs on UMA edge accelerators by performing cache-line granularity decryption during DRAM fet…
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…
This paper introduces DGNA, a methodology to unveil the Non-Uniform Memory Access (NUMA) architecture of GPU memory hierarchy through microbenchmarking and data analysis.
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…
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…
Aquifer is the first system to serve MicroVM snapshots from a hierarchical CXL+RDMA memory pool, achieving 2.2x geometric-mean speedup in end-to-end invocation time over Firecracker.
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.
Yilong Zhao, Fangxin Liu, Onur Mutlu, Mingyu Gao +3 more
The paper introduces COSM, a cooperative scheduling framework to facilitate concurrent operation of Processing-in-Memory (PIM) and CPU tasks on mobile platforms, improving PIM throughput by up to 2.8x…
Guowei Liu, Kang Chen, Laiping Zhao, Yiming Li +6 more
xDSM is a full-space, elastic DSM system built over CXL that transparently scales unmodified multithreaded applications by employing an OS-runtime co-design, dynamic data placement policy, and spatial…
This paper investigates the potential of real-world Processing-in-Memory (PIM) architectures, specifically using UPMEM, to accelerate cryptographic algorithms, demonstrating that distributing computat…
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…
Jae Hyung Ju, Euijun Chung, Hritvik Taneja, Anish Saxena +3 more
This paper proposes TileLens, a system to mitigate read amplification in Large-Granularity Memory Systems (LGMS) for Large Language Model (LLM) inference by adopting a tile-major layout.
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…
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…