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09/12/2023
RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design
Software-defined networking (SDN) and software-defined flash (SDF) have ...
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07/07/2023
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs
Data compression and decompression have become vital components of big-d...
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06/28/2023
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
Graph Neural Networks (GNNs) are emerging as a powerful tool for learnin...
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02/27/2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Graph neural networks (GNNs) have shown high potential for a variety of ...
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01/16/2023
PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks
Relational graph neural networks (RGNNs) are graph neural networks (GNNs...
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12/02/2022
Parallelizing Maximal Clique Enumeration on GPUs
We present a GPU solution for exact maximal clique enumeration (MCE) tha...
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11/08/2022
Submission-Aware Reviewer Profiling for Reviewer Recommender System
Assigning qualified, unbiased and interested reviewers to paper submissi...
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10/11/2022
Can Language Models Be Specific? How?
A good speaker not only needs to be correct, but also has the ability to...
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05/21/2022
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities
In this paper, we propose Descriptive Knowledge Graph (DKG) - an open an...
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03/09/2022
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture
Graphics Processing Units (GPUs) have traditionally relied on the host C...
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01/08/2022
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs
Dynamic parallelism on GPUs allows GPU threads to dynamically launch oth...
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11/10/2021
Graph Neural Network Training with Data Tiering
Graph Neural Networks (GNNs) have shown success in learning from graph-s...
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11/09/2021
MLHarness: A Scalable Benchmarking System for MLCommons
With the society's growing adoption of machine learning (ML) and deep le...
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08/20/2021
Open Relation Modeling: Learning to Define Relations between Entities
Relations between entities can be represented by different instances, e....
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05/27/2021
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
We propose to measure fine-grained domain relevance - the degree that a ...
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04/27/2021
K-Clique Counting on GPUs
Counting k-cliques in a graph is an important problem in graph analysis ...
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03/04/2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture
Graph Convolutional Networks (GCNs) are increasingly adopted in large-sc...
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01/20/2021
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses
With the increasing adoption of graph neural networks (GNNs) in the mach...
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01/19/2021
Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19
COVID-19 has fundamentally disrupted the way we live. Government bodies,...
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12/28/2020
TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes
MPI derived datatypes are an abstraction that simplifies handling of non...
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11/23/2020
Interpretable Visual Reasoning via Induced Symbolic Space
We study the problem of concept induction in visual reasoning, i.e., ide...
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10/14/2020
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
High quality AI solutions require joint optimization of AI algorithms, s...
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10/05/2020
Exploring Semantic Capacity of Terms
We introduce and study semantic capacity of terms. For example, the sema...
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08/28/2020
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator
Existing FPGA-based DNN accelerators typically fall into two design para...
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08/24/2020
Tearing Down the Memory Wall
We present a vision for the Erudite architecture that redefines the comp...
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07/28/2020
At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation
This paper presents GPU performance optimization and scaling results for...
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06/12/2020
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs
Modern analytics and recommendation systems are increasingly based on gr...
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05/06/2020
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
High quality AI solutions require joint optimization of AI algorithms an...
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04/02/2020
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
Learning segmentation from synthetic data and adapting to real data can ...
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03/18/2020
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
We consider the problem of unsupervised domain adaptation for semantic s...
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02/26/2020
DLSpec: A Deep Learning Task Exchange Specification
Deep Learning (DL) innovations are being introduced at a rapid pace. How...
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02/19/2020
MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale
Machine Learning (ML) and Deep Learning (DL) innovations are being intro...
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12/24/2019
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
The wide adoption of deep neural networks has been accompanied by ever-i...
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11/19/2019
The Design and Implementation of a Scalable DL Benchmarking Platform
The current Deep Learning (DL) landscape is fast-paced and is rife with ...
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11/18/2019
DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs
The past few years have seen a surge of applying Deep Learning (DL) mode...
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11/18/2019
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs
The past few years have seen a surge of applying Deep Learning (DL) mode...
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11/18/2019
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)
The past few years have seen a surge of applying Deep Learning (DL) mode...
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11/18/2019
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving
The rapidly growing demands for powerful AI algorithms in many applicati...
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11/16/2019
Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
As Deep Learning (DL) models have been increasingly used in latency-sens...
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11/16/2019
Benanza: Automatic uBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
As Deep Learning (DL) models have been increasingly used in latency-sens...
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09/25/2019
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space
Finding the right reviewers to assess the quality of conference submissi...
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09/20/2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Developing object detection and tracking on resource-constrained embedde...
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08/26/2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
Multi-scale context module and single-stage encoder-decoder structure ar...
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08/19/2019
Across-Stack Profiling and Characterization of Machine Learning Models on GPUs
The world sees a proliferation of machine learning/deep learning (ML) mo...
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08/19/2019
XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs
There has been a rapid proliferation of machine learning/deep learning (...
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08/04/2019
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device
Unlike traditional PCIe-based FPGA accelerators, heterogeneous SoC-FPGA ...
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06/25/2019
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection
Developing artificial intelligence (AI) at the edge is always challengin...
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06/22/2019
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications
This study began with a research project, called DISCvR, conducted at th...
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05/20/2019
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
Developing deep learning models for resource-constrained Internet-of-Thi...
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04/29/2019
