Vikram S. Mailthody

Orcid: 0000-0002-9611-8075

According to our database1, Vikram S. Mailthody authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses.
Proc. VLDB Endow., February, 2024

GMT: GPU Orchestrated Memory Tiering for the Big Data Era.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs.
CoRR, 2023

IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FSSD: FPGA-Based Emulator for SSDs.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture.
Dataset, October, 2022

BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage.
CoRR, 2022

2021
Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19.
CoRR, 2021

Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

2020
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs.
Proc. VLDB Endow., 2020

Tearing Down the Memory Wall.
CoRR, 2020

Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020.
CoRR, 2020

I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths.
CoRR, 2020

At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019
DeepStore: In-Storage Acceleration for Intelligent Queries.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Update on Triangle Counting on GPU.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Update on k-truss Decomposition on GPU.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

FlatFlash: Exploiting the Byte-Accessibility of SSDs within a Unified Memory-Storage Hierarchy.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018
Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Triangle Counting and Truss Decomposition using FPGA.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018


  Loading...