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09/21/2023
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices
Adiabatic Quantum-Flux-Parametron (AQFP) is a superconducting logic with...
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08/22/2023
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers
Quantum machine learning and vision have come to the fore recently, with...
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07/31/2023
Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs
Quantum computing is an emerging paradigm that has shown great promise i...
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06/22/2023
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems
The rapid growth in demand for HPC systems has led to a rise in energy c...
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04/19/2023
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning
This paper presents a solution to the challenge of mitigating carbon emi...
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10/12/2022
Building Heterogeneous Cloud System for Machine Learning Inference
Online inference is becoming a key service product for many businesses, ...
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07/23/2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
Deep learning model inference is a key service in many businesses and sc...
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07/23/2022
MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant Systems for Machine Learning
GPU technology has been improving at an expedited pace in terms of size ...
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05/19/2022
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models
The energy requirements of current natural language processing models co...
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04/12/2022
The MIT Supercloud Workload Classification Challenge
High-Performance Computing (HPC) centers and cloud providers support an ...
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01/28/2022
Benchmarking Resource Usage for Efficient Distributed Deep Learning
Deep learning (DL) workflows demand an ever-increasing budget of compute...
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08/04/2021
The MIT Supercloud Dataset
Artificial intelligence (AI) and Machine learning (ML) workloads are an ...
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05/22/2019