State of the art and future trends in data reduction for high-performance computing
Research into data reduction techniques has gained popularity in recent years as storage
capacity and performance become a growing concern. This survey paper provides an …
capacity and performance become a growing concern. This survey paper provides an …
Smartds: Middle-tier-centric smartnic enabling application-aware message split for disaggregated block storage
The widespread deployment of storage disaggregation in the cloud has facilitated flexible
scaling and storage overprovisioning, allowing for high utilization of storage capacity and …
scaling and storage overprovisioning, allowing for high utilization of storage capacity and …
Dcomp: Efficient offload of lsm-tree compaction with data processing units
C Ding, J Zhou, J Wan, Y Xiong, S Li, S Chen… - Proceedings of the …, 2023 - dl.acm.org
LSM-based Key-value stores suffer from sub-optimal performance due to their slow and
heavy background compactions. The compaction overhead shifts to the CPU as the storage …
heavy background compactions. The compaction overhead shifts to the CPU as the storage …
Characterization of data compression in datacenters
G Jeong, B Sharma, N Terrell… - … Analysis of Systems …, 2023 - ieeexplore.ieee.org
Data compression has emerged as a promising technique to alleviate the memory, storage,
and network cost with some associated compute overheads in warehouse-scale datacenter …
and network cost with some associated compute overheads in warehouse-scale datacenter …
HD-IOV: SW-HW Co-designed I/O Virtualization with Scalability and Flexibility for Hyper-Density Cloud
Z Zhang, J Chen, B Ying, Y Cao, L Liu, J Li… - Proceedings of the …, 2024 - dl.acm.org
As the resource density of cloud servers increases, cloud providers deploy hundreds of VMs
concurrently on a single server, requiring a high-performance, scalable, flexible and high …
concurrently on a single server, requiring a high-performance, scalable, flexible and high …
Extremely-Compressed SSDs with I/O Behavior Prediction
As the data volume continues to grow exponentially, there is an increasing demand for large
storage system capacity. Data compression techniques effectively reduce the volume of …
storage system capacity. Data compression techniques effectively reduce the volume of …
gCom: Fine-grained Compressors in Graphics Memory of Mobile GPU
Nowadays, GPUs significantly boost rendering performance. However, the high memory
requirements limit their use, especially on low-end mobile platforms. Compression …
requirements limit their use, especially on low-end mobile platforms. Compression …
D2Comp: Efficient Offload of LSM-tree Compaction with Data Processing Units on Disaggregated Storage
LSM-based key-value stores suffer from sub-optimal performance due to their slow and
heavy background compactions. The compaction brings severe CPU and network overhead …
heavy background compactions. The compaction brings severe CPU and network overhead …
HA-CSD: Host and SSD Coordinated Compression for Capacity and Performance
X Chen, T Lu, J Wang, Y Zhong, G Xie… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Integrating data compression capability into SSDs has demonstrated great potential to
improve the utilization and lifetime of the storage device and also the performance of the …
improve the utilization and lifetime of the storage device and also the performance of the …
QZRAM: A Transparent Kernel Memory Compression System Design for Memory-Intensive Applications with QAT Accelerator Integration
C Gao, X Xu, Z Yang, L Lin, J Li - Applied Sciences, 2023 - mdpi.com
In recent decades, memory-intensive applications have experienced a boom, eg, machine
learning, natural language processing (NLP), and big data analytics. Such applications often …
learning, natural language processing (NLP), and big data analytics. Such applications often …