Masahiro Doteguchi

According to our database, Masahiro Doteguchi authored at least 5 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

oneDAL Optimization for ARM Scalable Vector Extension: Maximizing Efficiency for High-Performance Data Science.

Chandan Sharma, Rakshith GB, Ajay Kumar Patel, Dhanus M. Lal, Darshan Patel, Ragesh Hajela, Masahiro Doteguchi, Priyanka Sharma

CoRR, April, 2025

Accelerating Quantized Deep Learning on Arm with JIT-Compiled INT8 Matmul Kernels.

Shreyas Shankar, Abhishek Jain, Ashish Chopra, Masahiro Doteguchi, Atsushi Nukariya, Priyanka Sharma

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

Pushing Performance: Quantized BRGEMM Convolutions for Efficient Vision Inference on ARM.

Deeksha Kasture, Ashish Chopra, Abhishek Jain, Masahiro Doteguchi, Atsushi Nukariya, Priyanka Sharma

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

Optimizing BLAS GEMM Kernel Performance: Scalable Multi-Core and Vectorized Design.

Ragesh Hajela, Masato Nakagawa, Atsushi Nukariya, Kuninori Ishii, Masahiro Doteguchi, Ikuo Miyoshi, Priyanka Sharma

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

2024

Maximizing Multi-Core Efficiency in BLAS: A Scalable Architecture for Performance.

Shivam Gautam, Deeksha Goplani, Darshan Patel, Ragesh Hajela, Masahiro Doteguchi, Ikuo Miyoshi, Priyanka Sharma

Proceedings of the 31st IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2024, 2024