Следене
Byung Hoon Ahn
Byung Hoon Ahn
Apple
Потвърден имейл адрес: apple.com - Начална страница
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Позовавания
Година
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks
S Ghodrati, BH Ahn, JK Kim, S Kinzer, BR Yatham, N Alla, H Sharma, ...
MICRO, 2020
1302020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
BH Ahn, P Pilligundla, A Yazdanbakhsh, H Esmaeilzadeh
ICLR, 2020
942020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
BH Ahn, J Lee, JM Lin, HP Cheng, J Hou, H Esmaeilzadeh
MLSys, 2020
642020
FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms
M Loni, A Zoljodi, A Majd, BH Ahn, M Daneshtalab, M Sjödin, ...
IEEE SMC, 2021
272021
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation
BH Ahn, P Pilligundla, H Esmaeilzadeh
ICML Workshop, 2019
252019
Tandem processor: Grappling with emerging operators in neural networks
S Ghodrati, S Kinzer, H Xu, R Mahapatra, Y Kim, BH Ahn, DK Wang, ...
ASPLOS, 2024
82024
Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators
ST Wang, H Xu, A Mamandipoor, R Mahapatra, BH Ahn, S Ghodrati, ...
HPCA, 2024
62024
Exploring Efficient ML-based Scheduler for Microservices in Heterogenous Clusters
R Mahapatra, BH Ahn, ST Wang, H Xu, H Esmaeilzadeh
ISCA Workshop, 2022
62022
Glimpse: Mathematical Embedding of Hardware Specification for Neural Compilation
BH Ahn, S Kinzer, H Esmaeilzadeh
DAC (Best Paper Award Nomination), 2022
62022
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration
JK Kim, BH Ahn, S Kinzer, S Ghodrati, R Mahapatra, B Yatham, ST Wang, ...
IEEE Micro, 2022
52022
In-Storage Domain-Specific Acceleration for Serverless Computing
R Mahapatra, S Ghodrati, BH Ahn, S Kinzer, ST Wang, H Xu, ...
ASPLOS, 2024
32024
Domain-Specific Computational Storage for Serverless Computing
R Mahapatra, S Ghodrati, BH Ahn, S Kinzer, S Wang, H Xu, L Karthikeyan, ...
arXiv preprint arXiv:2303.03483, 2023
32023
Understanding Performance Implications of LLM Inference on CPUs
S Na, G Jeong, BH Ahn, J Young, T Krishna, H Kim
IISWC, 2024
12024
Protopia AI: Taking on the Missing Link in AI Privacy and Data Protection
BH Ahn, DJ Synn, M Derkani, E Ebrahimi, H Esmaeilzadeh
NeurIPS Demonstrations, 2021
12021
Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators
S Kinzer, S Ghodrati, R Mahapatra, BH Ahn, E Mascarenhas, X Li, J Matai, ...
arXiv preprint arXiv:2310.17912, 2023
2023
Accelerating Federated Learning Through Attention on Local Model Updates
P Assadi, BH Ahn, H Esmaeilzadeh
NeurIPS Workshop, 2022
2022
AI for Optimized Execution of AI
BH Ahn
University of California, San Diego, 2022
2022
Responsible AI and Confidential Inferencing – NetApp AI with Protopia Image and Data Transformation
S Thyagarajan, M Oglesby, BH Ahn, J Cwagenberg
NetApp AI Use Cases, 2022
2022
Compilation and Optimization Techniques for Machine Learning Workloads
BH Ahn
University of California, San Diego, 2020
2020
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Статии 1–19