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06/06/2023
X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands
The demand for accurate information about the internal structure and cha...
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05/04/2023
A Quantitative Analysis and Guideline of Data Streaming Accelerator in Intel 4th Gen Xeon Scalable Processors
As semiconductor power density is no longer constant with the technology...
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03/27/2023
Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices
The high demand for memory capacity in modern datacenters has led to mul...
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02/26/2023
Asynchronous Persistence with ASAP
Supporting atomic durability of updates for persistent memories is typic...
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02/03/2023
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Side-channel attacks that use machine learning (ML) for signal analysis ...
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10/04/2022
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing
In 2021, the Coordinated Science Laboratory CSL, an Interdisciplinary Re...
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03/21/2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art...
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03/20/2022
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
Graph Convolutional Networks (GCNs) is the state-of-the-art method for l...
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03/16/2022
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications
Responding to the "datacenter tax" and "killer microseconds" problems fo...
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02/02/2022
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers
Deep neural networks (DNNs) have grown exponentially in complexity and s...
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12/11/2021
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches
The advent of switches with programmable dataplanes has enabled the rapi...
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06/27/2021
Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution
Large persistent memories such as NVDIMM have been perceived as a disrup...
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07/09/2020
IOCA: High-Speed I/O-Aware LLC Management for Network-Centric Multi-Tenant Platform
In modern server CPUs, last-level cache (LLC) is a critical hardware res...
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06/16/2020
FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack
Host-side page victimizations can easily overflow the SSD internal buffe...
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04/11/2020
Bit-Parallel Vector Composability for Neural Acceleration
Conventional neural accelerators rely on isolated self-sufficient functi...
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06/27/2019
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic
Low-power potential of mixed-signal design makes it an alluring option t...
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06/12/2019
Exploring Fault-Tolerant Erasure Codes for Scalable All-Flash Array Clusters
Large-scale systems with all-flash arrays have become increasingly commo...
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11/08/2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
Distributed training of deep nets is an important technique to address s...
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11/08/2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
Data parallelism can boost the training speed of convolutional neural ne...
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11/05/2018
Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources
SSDs become a major storage component in modern memory hierarchies, and ...
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05/20/2018
CIAO: Cache Interference-Aware Throughput-Oriented Architecture and Scheduling for GPUs
A modern GPU aims to simultaneously execute more warps for higher Thread...
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05/10/2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks
Generative Adversarial Networks (GANs) are one of the most recent deep l...
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05/18/2017