Daisuke Takahashi is a professor of computer science at the University of Tsukuba,[1] specializing in high-performance numerical computing.
Education and career[edit]
Takahashi received a bachelor's degree in engineering in 1993 and a master's degree in engineering in 1995, both from Toyohashi University of Technology. He completed a Ph.D. in information science from the University of Tokyo in 1999. After working as a researcher at the University of Tokyo and at Saitama University, he joined the University of Tsukuba in 2001.[2]
Research[edit]
Takahashi's works include several records of the number of digits of the approximation of Pi.[3] His work on the computation of Pi has inspired his former student Emma Haruka Iwao, who broke a new record on March 14, 2019.[4]
In 2011, he was part of a team from the University of Tsukuba that won the Gordon Bell Prize of the Association for Computing Machinery for their work simulating the quantum states of a nanowire using the K computer.[5]
He is also known for his research on the Fast Fourier transform,[6][7][8] and is one of the developers of the HPC Challenge Benchmark.[9]
References[edit]
- ^ "Daisuke Takahashi's Home Page". www.hpcs.cs.tsukuba.ac.jp.
- ^ "Daisuke Takahashi". IEEE Xplore. Retrieved 2019-12-04.
- ^ Hornyak, Tim (August 20, 2009). "Pi-obsessed Japanese reach 2.5 trillion digits". CNET.
- ^ "A recipe for beating the record of most-calculated digits of pi". Google. March 14, 2019.
- ^ "K computer Research Results Awarded ACM Gordon Bell Prize: Genuine application achieves execution performance of over 3 petaflops". Riken. November 18, 2011.
- ^ "FFTE: A Fast Fourier Transform Package". www.ffte.jp.
- ^ Aseeri, Samar (June 11, 2018). "State-of-the-Art FFT: Algorithms, Implementations, and Applications". SIAM News.
- ^ Aseeri, Samar (April 15, 2019). "Next Generation FFT Algorithms in Theory and Practice: Parallel Implementations, Sparse FFTs, and Applications". SIAM News.
- ^ "People". HPC Challenge. Retrieved 2019-12-04.
External links[edit]
- Daisuke Takahashi publications indexed by Google Scholar
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