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Vikram Sharma Mailthody

Observed names: Mailthody, Vikram, Mailthody, Vikram Sharma, Vikram S. Mailthody
ORCID: 0000-0002-9611-8075
Observed ORCID: 0000-0002-9611-8075
OpenAlex ID: A5041724753
DeepStore
2019 · Vikram Sharma Mailthody, Zaid Qureshi, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 64
FlatFlash: Exploiting the Byte-Accessibility of SSDs within a Unified Memory-Storage Hierarchy
2019 · Ahmed Abulila, Vikram Sharma Mailthody, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 57
EMOGI
2020 · Seung Won Min, Vikram Sharma Mailthody, et al. · Proceedings of the VLDB Endowment · 55
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture
2023 · Zaid Qureshi, Vikram Sharma Mailthody, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 48
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IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
2023 · Arpandeep Khatua, Vikram Sharma Mailthody, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 42
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Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition
2018 · Vikram S. Mailthody, Ketan Date, et al. · IEEE High Performance Extreme Computing Conference · 35
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
2024 · Jeongmin Brian Park, Vikram Sharma Mailthody, et al. · Proceedings of the VLDB Endowment · 28
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Update on k-truss Decomposition on GPU
2019 · Mohammad Almasri, Omer Anjum, et al. · IEEE High Performance Extreme Computing Conference · 26
Triangle Counting and Truss Decomposition using FPGA
2018 · Sitao Huang, Mohamed El-Hadedy, et al. · IEEE High Performance Extreme Computing Conference · 22
Update on Triangle Counting on GPU
2019 · Carl Pearson, Mohammad Almasri, et al. · IEEE High Performance Extreme Computing Conference · 18
At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation
2020 · Mert Hidayetoglu, Carl Pearson, et al. · IEEE High Performance Extreme Computing Conference · 17
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Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs
2021 · Jinyang Li, Runyu Ma, et al. · IEEE Military Communications Conference (MILCOM) · 14
GMT: GPU Orchestrated Memory Tiering for the Big Data Era
2024 · Chia-Hao Chang, Jihoon Han, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 11
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs
2020 · Min, Seung Won, Mailthody, Vikram Sharma, et al. · arXiv (Cornell University) · 10
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Tearing Down the Memory Wall
2020 · Qureshi, Zaid, Mailthody, Vikram Sharma, et al. · arXiv (Cornell University) · 6
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FSSD: FPGA-Based Emulator for SSDs
2023 · Luyang Yu, Yizhen Lu, et al. · International Conference on Field Programmable Logic and Applications (FPL) · 4
SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training
2025 · Kun Wu, Jeongmin Brian Park, et al. · ACM/IEEE Design Automation Conference (DAC) · 3
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I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths
2020 · Nam, Hyoungwook, Seo, Seung Byum, et al. · arXiv (Cornell University) · 2
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Five-Minute Rule 40 Years Later: A First-Principles Revisit for Modern Memory Hierarchy
2026 · Tong Zhang, Vikram Sharma Mailthody, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 1
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Asynchrony and GPUs: Bridging this Dichotomy for I/O with AGIO
2026 · Jihoon Han, Anand Sivasubramaniam, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 1
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme
2024 · Park, Jeongmin Brian, Wu, Kun, et al. · arXiv (Cornell University) · 1
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Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19
2021 · Vikram Sharma Mailthody, James Wei, et al. · 1
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Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020
2020 · Mert Hidayetoğlu, Carl Pearson, et al. · arXiv (Cornell University) · 1
Koi: Evidence-Guided, Self-Calibrating Planning for Multi-Cloud, Heterogeneous LLM Inference Fleets
2026 · Sidhu, Mankeerat, Lim, Gangmuk, et al. · arXiv (Cornell University)
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Fast Recovery for LLM Serving via Decoupled Device Memory Lifetime in Dynamo
2026 · Saereesitthipitak, Schwinn, Abdulwahhab, Mohammed, et al. · arXiv (Cornell University)
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Works count: 32
Citation count: 469
H-index: 12
I10-index: 14
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