Demo Data from VLDB 2026 / reviewers in the wild / expert
Tai Chang
dblp:47/9153
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Memory systems · 53% Storage systems · 47% |
Topics — the 9 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems
flash and SSD |
0.6 | 1 | 2022 | EMT: Elegantly Measured Tanner for Key-Value Store on SSD · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Storage systems › flash and SSD › flash memory management
flash translation layer |
0.6 | 1 | 2022 | EMT: Elegantly Measured Tanner for Key-Value Store on SSD · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Storage systems › flash and SSD
SSD-based key-value store |
0.6 | 1 | 2022 | EMT: Elegantly Measured Tanner for Key-Value Store on SSD · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Memory systems
cache |
0.5 | 1 | 2021 | TSE: Two-Step Elimination for MLC STT-RAM Last-Level Cache · IEEE Trans. Computers 2021 |
Memory systems › memory hierarchy › cache hierarchy
last-level cache |
0.5 | 1 | 2021 | TSE: Two-Step Elimination for MLC STT-RAM Last-Level Cache · IEEE Trans. Computers 2021 |
Memory systems
non-volatile memory |
0.5 | 1 | 2021 | TSE: Two-Step Elimination for MLC STT-RAM Last-Level Cache · IEEE Trans. Computers 2021 |
Memory systems › non-volatile memory › magnetic random access memory
STT-MRAM |
0.5 | 1 | 2021 | TSE: Two-Step Elimination for MLC STT-RAM Last-Level Cache · IEEE Trans. Computers 2021 |
Storage systems › flash and SSD
read amplification |
0.2 | 1 | 2022 | EMT: Elegantly Measured Tanner for Key-Value Store on SSD · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Memory systems › non-volatile memory › multi-level cell
multi-level cell memory |
0.1 | 1 | 2021 | TSE: Two-Step Elimination for MLC STT-RAM Last-Level Cache · IEEE Trans. Computers 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | EMT: Elegantly Measured Tanner for Key-Value Store on SSDabstractWith the emergence of big data era, NoSQL key-value database is considered as a promising candidate for replacing relational database management system (RDBMS). As cost per GB of flash memory is getting closer to HDD, high performance solid state drive (SSD) is regarded as the best substitute of HDD. However, there are still some issues that need to be taken into consideration.et al.have reported that applying key-value store to SSD with conventional FTL would incur internal fragmentation and further cause the degradation of device lifespan. Although they proposed KVFTL to deal with the above issues, their work gave rise to the read amplification problem. In this article, we investigate the root cause of the read amplification problem and propose elegantly measured tanner FTL (EMT-FTL) to mitigate internal fragmentation and read amplification with acceptable memory overhead. Different from KVFTL that slices a variable-sized value into multiple partitions (up to 20) of different sizes and manages them as a linked chain, EMT-FTL slices a value into 16 KiB full partitions with its remaining bytes treated as a fragment partition and appended to the fragment buffer. For a 64 GiB SSD with 16 KiB pages, the overall memory usage of EMT-FTL is only 8.81% of KVFTL. The experiments showed that EMT-FTL achieved almost the optimal space utilization as KVFTL did under most of traces and averagely improved thegetperformance by 78.57% (compared with KVFTL) under the traces with request sizes ranging from 1 byte to 16 KiB. Tai Chang, Jen-Wei Hsieh, Tai-Chieh Chang, Liang-Wei Lai |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 1 |
| 2021 | TSE: Two-Step Elimination for MLC STT-RAM Last-Level CacheabstractSpin-transfer torque RAM (STT-RAM) is an emerging non-volatile memory that has been recognized as the potential candidate to replace SRAM. Compared with SRAM, STT-RAM has advantages of non-volatility, zero leakage power, and higher density. To further improve data density, multi-level cell (MLC) STT-RAM that can store two bits per cell has been proposed. However, writing hard bit of a cell would write its soft bit to the same value as well, which complicates the write operation of MLC STT-RAM. Although two-step transition (TT) is usually adopted to ensure the data correctness during a write operation, it incurs overhead of additional energy consumption and performance degradation. In this article, we propose the two-step elimination (TSE) scheme to eliminate TTs while ensure data integrity. By flipping hard bits of the cells that suffered from TTs, the TSE scheme could reduce TTs to soft transitions (STs) or zero transitions (ZTs), which incur much less overhead than TTs. To keep track of the flipped cells effectively, 6-bit TSE tag is introduced. We exploit tag reversing and advanced mode of the TSE scheme to further improve the performance. The experimental results showed that our scheme could reduce 61 percent TTs and achieve significant lifetime improvement, compared with conventional MLC STT-RAM (CMLC) scheme. Jen-Wei Hsieh, Yi-Yu Liu, Hung-Tse Lee, Tai Chang |
IEEE Trans. Computers | 4 |