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08/26/2023
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
Memory-aware network scheduling is becoming increasingly important for d...
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06/29/2023
OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit
This paper proposes OpenPARF, an open-source placement and routing frame...
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06/04/2023
Proteus: Simulating the Performance of Distributed DNN Training
DNN models are becoming increasingly larger to achieve unprecedented acc...
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02/22/2023
ALEGO: Towards Cost-Aware Architecture and Integration Co-Design for Chiplet-based Spatial Accelerators
Advanced packaging offers a new design paradigm in the post-Moore era, w...
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07/25/2022
On Mitigating Hard Clusters for Face Clustering
Face clustering is a promising way to scale up face recognition systems ...
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04/17/2022
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
Subject-invariant facial action unit (AU) recognition remains challengin...
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03/12/2022
EventFormer: AU Event Transformer for Facial Action Unit Event Detection
Facial action units (AUs) play an indispensable role in human emotion an...
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03/10/2022
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization
This paper presents a reinforcement learning (RL) framework that leverag...
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10/08/2021
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators
Many of today's deep neural network accelerators, e.g., Google's TPU and...
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05/07/2021
Self-paced Resistance Learning against Overfitting on Noisy Labels
Noisy labels composed of correct and corrupted ones are pervasive in pra...
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05/05/2021
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation
Accelerating tensor applications on spatial architectures provides high ...
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05/04/2021
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation
Tensor computations overwhelm traditional general-purpose computing devi...
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04/26/2021
TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra
Tensor algebra finds applications in various domains, and these applicat...
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04/05/2021
A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265
This paper introduces a dual-critic reinforcement learning (RL) framewor...
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10/29/2020
Systolic Computing on GPUs for Productive Performance
We propose a language and compiler to productively build high-performanc...
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09/29/2019
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs
Deep neural networks (DNNs), as the basis of object detection, will play...
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11/05/2018
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM
Many model compression techniques of Deep Neural Networks (DNNs) have be...
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03/20/2018
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs
Recurrent Neural Networks (RNNs) are becoming increasingly important for...
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03/14/2018
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs
Recently, significant accuracy improvement has been achieved for acousti...
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03/13/2018
CuLDA_CGS: Solving Large-scale LDA Problems on GPUs
Latent Dirichlet Allocation(LDA) is a popular topic model. Given the fac...
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09/07/2016