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08/05/2023
RV-CURE: A RISC-V Capability Architecture for Full Memory Safety
Despite decades of efforts to resolve, memory safety violations are stil...
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02/17/2023
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
Deep Learning (DL) acceleration support in CPUs has recently gained a lo...
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02/01/2023
Revisiting Query Performance in GPU Database Systems
GPUs offer massive compute parallelism and high-bandwidth memory accesse...
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06/16/2022
CuPBoP: CUDA for Parallelized and Broad-range Processors
CUDA is one of the most popular choices for GPU programming, but it can ...
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12/19/2021
COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs
As CUDA programs become the de facto program among data parallel applica...
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10/21/2021
Vortex: Extending the RISC-V ISA for GPGPU and 3D-GraphicsResearch
The importance of open-source hardware and software has been increasing....
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10/05/2021
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU
As AI-based applications become pervasive, CPU vendors are starting to i...
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09/02/2021
Supporting CUDA for an extended RISC-V GPU architecture
With the rapid development of scientific computation, more and more rese...
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04/09/2021
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization
Intelligent mobile robots are critical in several scenarios. However, as...
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04/09/2021
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
The increasing interest in serverless computation and ubiquitous wireles...
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02/16/2021
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning
To efficiently process visual data at scale, researchers have proposed t...
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11/22/2020
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads
Sparse matrices are the key ingredients of several application domains, ...
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11/17/2020
Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems
Intelligent transportation systems (ITS) are expected to effectively cre...
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11/13/2020
Reducing Inference Latency with Concurrent Architectures for Image Recognition
Satisfying the high computation demand of modern deep learning architect...
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03/13/2020
Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution
The rise of deep neural networks (DNNs) is inspiring new studies in myri...
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02/27/2020
Vortex: OpenCL Compatible RISC-V GPGPU
The current challenges in technology scaling are pushing the semiconduct...
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05/18/2019
A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL
The sequence-to-sequence (seq2seq) model for neural machine translation ...
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01/08/2019
Collaborative Execution of Deep Neural Networks on Internet of Things Devices
With recent advancements in deep neural networks (DNNs), we are able to ...
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02/05/2018
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
The prevalence of Internet of things (IoT) devices and abundance of sens...
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10/30/2017
Louvre: Lightweight Ordering Using Versioning for Release Consistency
Fence instructions are fundamental primitives that ensure consistency in...
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10/26/2017
CODA: Enabling Co-location of Computation and Data for Near-Data Processing
Recent studies have demonstrated that near-data processing (NDP) is an e...
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07/17/2017
Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube
Memories that exploit three-dimensional (3D)-stacking technology, which ...
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06/08/2017