Vijay Janapa Reddi

research

∙ 06/15/2023

Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators

Achieving high accuracy, while maintaining good energy efficiency, in an...

0 Cansu Demirkiran, et al. ∙

research

∙ 06/15/2023

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design

Machine learning is a prevalent approach to tame the complexity of desig...

0 Srivatsan Krishnan, et al. ∙

research

∙ 06/15/2023

Datasheets for Machine Learning Sensors

Machine learning (ML) sensors offer a new paradigm for sensing that enab...

0 Matthew Stewart, et al. ∙

research

∙ 05/22/2023

Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models

The generative AI revolution in recent years has been spurred by an expa...

5 Alicia Parrish, et al. ∙

research

∙ 01/27/2023

Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers

The sustained growth of carbon emissions and global waste elicits signif...

0 Shvetank Prakash, et al. ∙

research

∙ 01/26/2023

GPU-based Private Information Retrieval for On-Device Machine Learning Inference

On-device machine learning (ML) inference can enable the use of private ...

0 Maximilian Lam, et al. ∙

research

∙ 11/29/2022

Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration

Microprocessor architects are increasingly resorting to domain-specific ...

21 Srivatsan Krishnan, et al. ∙

research

∙ 11/16/2022

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse

Real-time multi-model multi-task (MMMT) workloads, a new form of deep le...

0 Hyoukjun Kwon, et al. ∙

research

∙ 11/02/2022

Edge Impulse: An MLOps Platform for Tiny Machine Learning

Edge Impulse is a cloud-based machine learning operations (MLOps) platfo...

0 Shawn Hymel, et al. ∙

research

∙ 07/20/2022

DataPerf: Benchmarks for Data-Centric AI Development

Machine learning (ML) research has generally focused on models, while th...

17 Mark Mazumder, et al. ∙

research

∙ 06/07/2022

Machine Learning Sensors

Machine learning sensors represent a paradigm shift for the future of em...

0 Pete Warden, et al. ∙

research

∙ 05/11/2022

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots

Machine learning (ML) has become a pervasive tool across computing syste...

0 Sabrina M. Neuman, et al. ∙

research

∙ 05/08/2022

RobotCore: An Open Architecture for Hardware Acceleration in ROS 2

Hardware acceleration can revolutionize robotics, enabling new applicati...

0 Víctor Mayoral Vilches, et al. ∙

research

∙ 05/06/2022

Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles

The processing requirement of autonomous vehicles (AVs) for high-accurac...

1 Yu-Shun Hsiao, et al. ∙

research

∙ 05/06/2022

OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge

Autonomous machines (e.g., vehicles, mobile robots, drones) require soph...

0 Tianyu Jia, et al. ∙

research

∙ 03/05/2022

Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference

Multiparty computation approaches to secure neural network inference tra...

0 Maximilian Lam, et al. ∙

research

∙ 01/13/2022

FARSI: Facebook AR System Investigator for Agile Domain-Specific System-on-Chip Exploration

Domain-specific SoCs (DSSoCs) are attractive solutions for domains with ...

0 Behzad Boroujerdian, et al. ∙

research

∙ 01/05/2022

CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs

We present CFU Playground, a full-stack open-source framework that enabl...

0 Shvetank Prakash, et al. ∙

research

∙ 11/17/2021

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage

The People's Speech is a free-to-download 30,000-hour and growing superv...

0 Daniel Galvez, et al. ∙

research

∙ 11/06/2021

Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones

We present a bottleneck analysis tool for designing compute systems for ...

0 Srivatsan Krishnan Zishen Wan, et al. ∙

research

∙ 09/14/2021

GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients

We introduce GRiD: a GPU-accelerated library for computing rigid body dy...

0 Brian Plancher, et al. ∙

research

∙ 09/02/2021

An Electro-Photonic System for Accelerating Deep Neural Networks

The number of parameters in deep neural networks (DNNs) is scaling at ab...

0 Cansu Demirkiran, et al. ∙

research

∙ 08/30/2021

RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity

The limited onboard energy of autonomous mobile robots poses a tremendou...

0 Behzad Boroujerdian, et al. ∙

research

∙ 07/12/2021

Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments

Nano quadcopters are ideal for gas source localization (GSL) as they are...

0 Bardienus P. Duisterhof, et al. ∙

research

∙ 06/10/2021

Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix

We show that aggregated model updates in federated learning may be insec...

0 Maximilian Lam, et al. ∙

research

∙ 06/07/2021

Widening Access to Applied Machine Learning with TinyML

Broadening access to both computational and educational resources is cri...

0 Vijay Janapa Reddi, et al. ∙

research

∙ 04/03/2021

Few-Shot Keyword Spotting in Any Language

We introduce a few-shot transfer learning method for keyword spotting in...

0 Mark Mazumder, et al. ∙

research

∙ 02/23/2021

Data Engineering for Everyone

Data engineering is one of the fastest-growing fields within machine lea...

59 Vijay Janapa Reddi, et al. ∙

research

∙ 02/08/2021

RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads

Deep reinforcement learning (RL) has made groundbreaking advancements in...

0 James Gleeson, et al. ∙

research

∙ 02/05/2021

Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots

Building domain-specific architectures for autonomous aerial robots is c...

2 Srivatsan Krishnan, et al. ∙

research

∙ 12/03/2020

MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It

MLPerf Mobile is the first industry-standard open-source mobile benchmar...

8 Vijay Janapa Reddi, et al. ∙

research

∙ 10/21/2020

MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

Executing machine learning workloads locally on resource constrained mic...

0 Colby Banbury, et al. ∙

research

∙ 10/17/2020

TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

Deep learning inference on embedded devices is a burgeoning field with m...

0 Robert David, et al. ∙

research

∙ 07/21/2020

AI Tax: The Hidden Cost of AI Data Center Applications

Artificial intelligence and machine learning are experiencing widespread...

0 Daniel Richins, et al. ∙

research

∙ 06/01/2020

Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins

Modern large-scale computing systems (data centers, supercomputers, clou...

0 George Papadimitriou, et al. ∙

research

∙ 03/10/2020

Benchmarking TinyML Systems: Challenges and Direction

Recent advancements in ultra-low-power machine learning (TinyML) hardwar...

0 Colby R. Banbury, et al. ∙

research

∙ 02/26/2020

Quantized Neural Network Inference with Precision Batching

We present PrecisionBatching, a quantized inference algorithm for speedi...

0 Maximilian Lam, et al. ∙

research

∙ 11/06/2019

MLPerf Inference Benchmark

Machine-learning (ML) hardware and software system demand is burgeoning....

27 Vijay Janapa Reddi, et al. ∙

research

∙ 10/02/2019

MLPerf Training Benchmark

Machine learning is experiencing an explosion of software and hardware s...

6 Peter Mattson, et al. ∙

research

∙ 10/02/2019

Quantized Reinforcement Learning (QUARL)

Recent work has shown that quantization can help reduce the memory, comp...

0 Srivatsan Krishnan, et al. ∙

research

∙ 10/02/2019

GLADAS: Gesture Learning for Advanced Driver Assistance Systems

Human-computer interaction (HCI) is crucial for the safety of lives as a...

0 Ethan Shaotran, et al. ∙

research

∙ 09/29/2019

AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference

Conventional hardware-friendly quantization methods, such as fixed-point...

0 Thierry Tambe, et al. ∙

research

∙ 09/25/2019

Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller

Fully autonomous navigation using nano drones has numerous application i...

5 Bardienus P. Duisterhof, et al. ∙

research

∙ 07/02/2019

Accelerator-level Parallelism

Future applications demand more performance, but technology advances hav...

0 Mark D. Hill, et al. ∙

research

∙ 06/26/2019

One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers

Today's cloud service architectures follow a "one size fits all" deploym...

4 Matthew Halpern, et al. ∙

research

∙ 06/24/2019

The Role of Compute in Autonomous Aerial Vehicles

Autonomous-mobile cyber-physical machines are part of our future. Specif...

0 Behzad Boroujerdian, et al. ∙

research

∙ 06/13/2019

Deep Reinforcement Learning for Cyber Security

The scale of Internet-connected systems has increased considerably, and ...

0 Thanh Thi Nguyen, et al. ∙

research

∙ 06/02/2019

Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots

We introduce Air Learning, an AI research platform for benchmarking algo...

0 Srivatsan Krishnan, et al. ∙

research

∙ 05/15/2019

MAVBench: Micro Aerial Vehicle Benchmarking

Unmanned Aerial Vehicles (UAVs) are getting closer to becoming ubiquitou...

0 Behzad Boroujerdian, et al. ∙

research

∙ 10/04/2018

Domain Specific Approximation for Object Detection

There is growing interest in object detection in advanced driver assista...

0 Ting-Wu Chin, et al. ∙

Vijay Janapa Reddi

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