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Featured researches published by Yoshiaki Deguchi.


international reliability physics symposium | 2016

System-level error correction by read-disturb error model of 1Xnm TLC NAND Flash memory for read-intensive enterprise solid-state drives (SSDs)

Yoshiaki Deguchi; Tsukasa Tokutomi; Ken Takeuchi

Read-disturb Modeled LDPC (RDM-LDPC) ECC is proposed. Conventional Advanced Error-Prediction LDPC (AEP-LDPC) [1] corrects data-retention errors of data-storage-purpose SSDs storing photos, movies, etc. but cannot correct read-disturb errors. For read-intensive computing-purpose enterprise SSDs, this paper analyzes the read-disturb errors, develops the error model of 1Xnm TLC NAND Flash memory and proposes ECC suitable for read-disturb errors. It is experimentally demonstrated that proposed RDM-LDPC extends the read cycle of SSDs by 5000-times.


symposium on vlsi technology | 2017

Flash Reliability Boost Huffman coding (FRBH): Co-optimization of data compression and V th distribution modulation to enhance data-retention time by over 2900x

Yoshiaki Deguchi; Atsuro Kobayashi; Hikaru Watanabe; Ken Takeuchi

Highly reliable data compression technique. Flash Reliability Boost Huffman coding (FRBH) is proposed for TLC NAND Flash memory. By decreasing the write data size and optimizing the memory cell Vth distribution at the same time, FRBH decreases data-retention errors by 92% and increases data-retention time by over 2900 times.


international memory workshop | 2017

AEP-LDPC ECC with Error Dispersion Coding for Burst Error Reduction of 2D and 3D NAND Flash Memories

Toshiki Nakamura; Yoshiaki Deguchi; Ken Takeuchi

To improve the reliability of Triple-Level Cell (TLC) NAND flash memory, Advanced Error Prediction (AEP) low-density parity-check (LDPC) ECC with Error Dispersion Coding is proposed. In the conventional LDPC, error-correction capability is degraded due to burst errors [1]. To reduce burst errors and improve the error-correction capabilities of LDPC, this paper proposes Error Dispersion Coding (EDC) which reduces burst errors, decreases the worst bit-error rate (BER) of Upper/Middle/Lower pages, and finally extends the data-retention time of TLC NAND flash memory. By applying proposed EDC, in 3D-TLC NAND flash memory, the burst errors and the worst BER are decreased by 87% and 40%, respectively. As a result, the acceptable data-retention time is extended by 1.8 and 2.6 times in 2D and 3D-TLC NAND flash memory, respectively.


custom integrated circuits conference | 2017

12× bit-error acceptable, 300× extended data-retention time, value-aware SSD with vertical 3D-TLC NAND flash memories for image recognition

Yoshiaki Deguchi; Toshiki Nakamura; Atsuro Kobayashi; Ken Takeuchi

Value-Aware SSD with Vertical 3D-TLC (Triple-Level Cell) NAND flash for the image recognition is proposed to increase the acceptable bit-error rate (BER) by 12-times and extend the data-retention time by 300-times. In addition to the reliability improvement, the read time reduces by 26%. The proposed SSD combines new data-aware techniques with deep neural networks error tolerance. 10% BER of NAND flash is allowed while providing the accurate and fast image recognition. The design overhead in the SSD controller is negligibly small.


international symposium on circuits and systems | 2018

Data-Aware Partial ECC with Data Modulation of ReRAM with Non-volatile In-memory Computing for Image Recognition with Deep Neural Network

Atsuna Hayakawa; Toshiki Nakamura; Yoshiaki Deguchi; Kazuki Maeda; Ken Takeuchi


international symposium on circuits and systems | 2018

Layer-by-layer Adaptively Optimized ECC of NAND flash-based SSD Storing Convolutional Neural Network Weight for Scene Recognition

Keita Mizushina; Toshiki Nakamura; Yoshiaki Deguchi; Ken Takeuchi


international reliability physics symposium | 2018

Error elimination ECC by horizontal error detection and vertical-LDPC ECC to increase data-retention time by 230% and acceptable bit-error rate by 90% for 3D-NAND flash SSDs

Shun Suzuki; Yoshiaki Deguchi; Toshiki Nakamura; Kyoji Mizoguchi; Ken Takeuchi


international memory workshop | 2018

Error-Reduction Controller Techniques of TaOx-Based ReRAM for Deep Neural Networks to Extend Data-Retention Lifetime by Over 1700x

Yoshiaki Deguchi; Kazuki Maeda; Shun Suzuki; Toshiki Nakamura; Ken Takeuchi


international memory workshop | 2018

3D-NAND Flash Solid-State Drive (SSD) for Deep Neural Network Weight Storage of IoT Edge Devices with 700x Data-Retention Lifetime Extention

Yoshiaki Deguchi; Ken Takeuchi


european solid state device research conference | 2018

Endurance-based Dynamic V TH Distribution Shaping of 3D-TLC NAND Flash Memories to Suppress Both Lateral Charge Migration and Vertical Charge De-trap and Increase Data-retention Time by 2.7x

Shun Suzuki; Yoshiaki Deguchi; Toshiki Nakamura; Ken Takeuchi

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