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Relaxing Distillation Constraints for Improved New Class Learning in Continual Semantic Segmentation
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2025 | Conference Paper |
Continual Semantic Segmentation (CSS) aims to continuously learn new classes while mitigating catastrophic forgetting. Existing CSS methods primarily address this challenge through knowledge distillation. While they focus on maintaining stability for old classes, this emphasis often restricts plasticity in learning new ones. In this work, we propose two plug-and-play methods to better balance stab...Show More
YOLOH: You Only Look One Hourglass for Real-Time Object Detection
Multi-scale detection based on Feature Pyramid Networks (FPN) has been a popular approach in object detection to improve accuracy. However, using multi-layer features in the decoder of FPN methods entails performing many convolution operations on high-resolution feature maps, which consumes significant computational resources. In this paper, we propose a novel perspective for FPN in which we direc...Show More
SoftSSD: Software-defined SSD Development Platform for Rapid Flash Firmware Prototyping
2022 IEEE 40th International Conference on Computer Design (ICCD)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
Recently, solid-state drives (SSDs) have been used in a wide range of emerging data processing systems. Essentially, an SSD is a complex embedded system that involves both hardware and software design. For the latter, firmware modules such as the flash translation layer (FTL) orchestrate internal operations and flash management, and are crucial to the overall I/O performance of an SSD. Despite the...Show More
Tailored Hidden Markov Model: A Tailored Hidden Markov Model Optimized for Cellular-Based Map Matching
Although the GPS-based positioning is ubiquitous for its high precision, the high power consumption brought by the high sampling frequency and the poor GPS signal penetration limits its availability in locating low-power mobile devices (especially mobile phones). As a promising complement, the cellular-based positioning has attracted great attention since it consumes much less power as well as its...Show More
Rebirth-FTL: Lifetime Optimization via Approximate Storage for NAND Flash Memory
Chenlin Ma;Zhuokai Zhou;Lei Han;Zhaoyan Shen;Yi Wang;Renhai Chen;Zili Shao
The lifetime of NAND flash cells significantly degrades with feature-size reductions and multilevel cell technology. On the other hand, we have more and more approximate data, such as images and videos that are more error tolerant than regular data like text. In this article, we propose Rebirth-FTL, which reuses faulty blocks that contain uncorrectable errors to store approximate data for lifetime...Show More
Model Selection - Knowledge Distillation Framework for Model Compression
Renhai Chen;Shimin Yuan;Shaobo Wang;Zhenghan Li;Meng Xing;Zhiyong Feng
2021 IEEE Symposium Series on Computational Intelligence (SSCI)
Year: 2021 | Conference Paper |
The significant increase in the computation and parameter storage costs of CNNs promotes its development in various applications and restricts its deployment in edge devices as well. Therefore, many neural network pruning methods has been proposed for neural network compression and acceleration. However, there are two major limitations to these methods: First, prevailing methods usually design sin...Show More
Tiler: An Autonomous Region-Based Scheme for SMR Storage
Chenlin Ma;Zhaoyan Shen;Jihe Wang;Yi Wang;Renhai Chen;Yong Guan;Zili Shao
IEEE Transactions on Computers
Cited by: Papers (4)
Shingled Magnetic Recording (SMR) Disks are adopted as a high-density, non-volatile media that significantly precedes conventional disks in both the storage capacity and cost. However, inefficient read-modify-writes (RMWs) greatly challenge the management of SMR disks. This article for the first time presents an approach called Tiler to manage SMR disks by dividing the physical space into small au...Show More
As more and more scholars focus on cognitive intelligence, knowledge graph has been widely concerned. Because knowledge graph uses RDF to describe various resources, the storage and management of massive RDF data becomes a challenge. Existing methods are mainly based on relational database, RDF triples and graph model to store and query RDF data [1]. The method based on RDF triples is to build ind...Show More
GraphPage: RDF Graph in SSD Pages: Work-in-Progress
2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
SSD has been widely deployed in data centers to provide low access latency with high throughput for large-scale RDF storage system. When performing data query on SSDs, the RDF -based graph data may be sequentially read multiple times due to the semantic gap between the graph and SSD structures. In this paper, we propose a scheme called GraphPage to bridge the semantic gap between RDF graph and SSD...Show More
A Lightweight Framework for Fast Image Retrieval on Large-Scale Image Datasets
2020 9th Non-Volatile Memory Systems and Applications Symposium (NVMSA)
Year: 2020 | Conference Paper |
Content-based image retrieval (CBIR) has attracted substantial attention over the past decade. Instead of taking textual keywords as input, CBIR techniques directly take a visual query and try to return its similar images from a given database. In this paper, we introduce a lightweight framework to fast locate the images on large-scale datasets. To achieve this, we first group the images with the ...Show More
An Efficient Directory Entry Lookup Cache With Prefix-Awareness for Mobile Devices
Zhaoyan Shen;Lei Han;Renhai Chen;Chenlin Ma;Zhiping Jia;Zili Shao
Modern mobile devices, such as smartphones, maintain a directory cache (DCache) to accelerate directory and file accesses. However, the original DCache recursively walks through all the components of a path name for each directory entry (dentry) lookup operation, leading to low lookup efficiency. In this article, we first investigate intrinsic characteristics of dentry lookup operations in smartph...Show More
A Highly Parallelized PIM-Based Accelerator for Transaction-Based Blockchain in IoT Environment
Qian Wang;Zhiping Jia;Tianyu Wang;Zhaoyan Shen;Mengying Zhao;Renhai Chen;Zili Shao
IEEE Internet of Things Journal
Cited by: Papers (9)
Blockchain has gained a lot of attention from both academia and industry. However, traditional standard blockchains, such as Bitcoin and Ethereum, suffer from low throughput, high computation overhead, and large transaction fee, which is not suitable for Internet of Things (IoT) transactions. Recently, transaction-based approaches, such as Tangle structure which is based on a directed acyclic grap...Show More
With the advent of the era of big data, efficient reading and writing of data have become the focus of attention. Solid State Drives (SSDs) have been a competitive alternative to traditional hard disks in disk arrays due of their better I/O performance. However, the uniform I/O scheduling strategies used in traditional disk arrays (e.g., FCFS) do not fully consider the characteristics of SSDs read...Show More
Internal Structure Aware RDF Data Management in SSDs
2019 56th ACM/IEEE Design Automation Conference (DAC)
Year: 2019 | Conference Paper |
In this paper, we lead the first efforts towards intelligent RDF data management in SSDs. We propose to deeply fuse the RDF data in SSDs. In detail, the operations (e.g., data query) applied to RDF can be directly achieved in SSDs. To this end, we explore two RDF data organizations (e.g., triple-based) with the consideration of the internal structure of SSDs. The experiment is conducted on the Pat...Show More
DCR: Deterministic Crash Recovery for NAND Flash Storage Systems
Renhai Chen;Chi Zhang;Yi Wang;Zhaoyan Shen;Duo Liu;Zili Shao;Yong Guan
NAND flash memory has been widely adopted as the storage medium. As power failure may occur at any time and result in data loss, crash recovery becomes vitally important in NAND flash memory storage systems. Since flash translation layers (FTLs) are used to manage flash memory, the crash recovery problem in NAND flash is how to efficiently and effectively recover FTL metadata with consistency afte...Show More
A High-Accuracy TOA-Based Localization Method Without Time Synchronization in a Three-Dimensional Space
Time-of-arrival (TOA) is a widely used localization technique in robotic localization systems. However, TOA-based methods require strict time synchronization between the source (target) and sensors (receivers), which significantly influences the localization accuracy. In this paper, we propose an iterative Time-of-arrival (iTOA) localization technique to eliminate the time synchronization error in...Show More
A Reliable Video Storage Architecture in Hybrid SLC/MLC Nand Flash
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2018 | Conference Paper |
In this paper, we propose a reliable video storage architecture in hybrid SLC/MLC storage systems. In this architecture, the video stream is reconstructed as the key cluster and the non-key cluster according to the importance of video restoration. The key cluster is stored in SLC blocks to ensure the reliability, while the non-key cluster is stored in MLC blocks to utilize its capacity. The experi...Show More
A Block-Level Log-Block Management Scheme for MLC NAND Flash Memory Storage Systems
Yong Guan;Guohui Wang;Chenlin Ma;Renhai Chen;Yi Wang;Zili Shao
IEEE Transactions on Computers
Cited by: Papers (14)
NAND flash memory is the major storage media for both mobile storage cards and enterprise Solid-State Drives (SSDs). Log-block-based Flash Translation Layer (FTL) schemes have been widely used to manage NAND flash memory storage systems in industry. In log-block-based FTLs, a few physical blocks called log blocks are used to hold all page updates from a large amount of data blocks. Frequent page u...Show More
vFlash: Virtualized Flash for Optimizing the I/O Performance in Mobile Devices
I/O is becoming one of major performance bottlenecks in NAND-flash-based mobile devices. Novel nonvolatile memories (NVMs), such as phase change memory and spin-transfer torque random access memory, can provide fast read/write operations. In this paper, we propose a unified NVM/flash architecture to improve the I/O performance. A transparent scheme, virtualized flash (vFlash), is also proposed to ...Show More
Heating Dispersal for Self-Healing NAND Flash Memory
IEEE Transactions on Computers
Cited by: Papers (20)
Substantially reduced lifetimes are becoming a critical issue in NAND flash memory with the advent of multi-level cell and triple-level cell flash memory. Researchers discovered that heating can cause worn-out NAND flash cells to become reusable and greatly extend the lifetime of flash memory cells. However, the heating process consumes a substantial amount of power, and some fundamental changes a...Show More
Bridging the I/O performance gap for big data workloads: A new NVDIMM-based approach
2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)
Year: 2016 | Conference Paper |
Cited by: Papers (19)
The long I/O latency posts significant challenges for many data-intensive applications, such as the emerging big data workloads. Recently, the NVDIMM (Non-Volatile Dual In-line Memory Module) technologies provide a promising solution to this problem. By employing non-volatile NAND flash memory as storage media and connecting them via DIMM (Dual Inline Memory Module) slots, the NVDIMM devices are e...Show More
MCSSim: A memory channel storage simulator
2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)
Year: 2016 | Conference Paper |
Recently, NVDIMM (Non-Volatile Dual In-line Memory Module) is being widely supported by leading hardware design companies, such as IBM. Nevertheless, existing efforts largely focus on NVDIMM specification and fabrication issues, and the potential performance gains brought by NVDIMM are not fully investigated. In this paper, we present a NVDIMM-based simulator called MCSSim to help study the memory...Show More
A Real-Time Flash Translation Layer for NAND Flash Memory Storage Systems
Yi Wang;Zhiwei Qin;Renhai Chen;Zili Shao;Qixin Wang;Shuai Li;Laurence T. Yang
NAND flash memory is widely used in both hard real-time and soft real-time systems because of its unique properties, such as non-volatility, low power consumption, and fast access time. However, due to the variable garbage collection latency, the response time becomes unpredictable when multiple I/O requests are issued from the file system to flash media. In NAND flash memory storage systems, flas...Show More
Virtual Machine Image Content Aware I/O Optimization for Mobile Virtualization
Mobile virtualization introduces extra layers in software stacks, which leads to performance degradation. Especially, each I/O operation has to pass through several software layers to reach the NAND-flash-based storage systems. This paper targets at optimizing I/O for mobile virtualization, since I/O becomes one of major performance bottlenecks that seriously affects the performance of mobile devi...Show More
Unified non-volatile memory and NAND flash memory architecture in smartphones
The 20th Asia and South Pacific Design Automation Conference
Year: 2015 | Conference Paper |
Cited by: Papers (16)
I/O is becoming one of major performance bottlenecks in NAND-flash-based smartphones. Novel NVMs (nonvolatile memories), such as PCM (Phase Change Memory) and STT-RAM (Spin-Transfer Torque Random Access Memory), can provide fast read/write operations. In this paper, we propose an unified NVM/flash architecture to improve the I/O performance. A transparent scheme, vFlash (Virtualized Flash), is als...Show More
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