activity
20182025
most citedDSPatch: Dual Spatial Pattern Prefetcher

75 citations · 123 across the 19 of their papers we have counts for

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12 papers · 1 filter

cs.AR2024

iMIV: in-Memory Integrity Verification for NVM

Rajat Jain, Aravinda Prasad, Sreenivas Subramoney +1

Non-volatile Memory (NVM) could bridge the gap between memory and storage. However, NVMs are susceptible to data remanence attacks. Thus, multiple security metadata must persist al…

cs.AR2024

Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution

Rahul Bera, Adithya Ranganathan, Joydeep Rakshit +8

Load instructions often limit instruction-level parallelism (ILP) in modern processors due to data and resource dependences they cause. Prior techniques like Load Value Prediction…

cs.AR2024

CiMNet: Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware

Souvik Kundu, Anthony Sarah, Vinay Joshi +2

With the recent growth in demand for large-scale deep neural networks, compute in-memory (CiM) has come up as a prominent solution to alleviate bandwidth and on-chip interconnect b…

cs.AR2023★ 1 cited

VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs

Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya +5

Deep Learning (DL) acceleration support in CPUs has recently gained a lot of traction, with several companies (Arm, Intel, IBM) announcing products with specialized matrix engines…

cs.AR2022

ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis

Can Firtina, Kamlesh Pillai, Gurpreet S. Kalsi +10

Profile hidden Markov models (pHMMs) are widely employed in various bioinformatics applications to identify similarities between biological sequences, such as DNA or protein sequen…

cs.AR2022★ 38 cited

SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping

Damla Senol Cali, Konstantinos Kanellopoulos, Joel Lindegger +15

A critical step of genome sequence analysis is the mapping of sequenced DNA fragments (i.e., reads) collected from an individual to a known linear reference genome sequence (i.e.,…