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ORCIDReiji Suda
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- affiliation: University of Tokyo
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2020 – today
- 2024
[j9]Takuto Mitsunobu, Reiji Suda, Vorapong Suppakitpaisarn
:
Worst-case analysis of LPT scheduling on a small number of non-identical processors. Inf. Process. Lett. 183: 106424 (2024)- 2023
- [c50]Pengchang Ren, Reiji Suda, Vorapong Suppakitpaisarn:
Efficient Additions and Montgomery Reductions of Large Integers for SIMD. ARITH 2023: 48-59 - [i7]Pengchang Ren, Reiji Suda, Vorapong Suppakitpaisarn:
Efficient Additions and Montgomery Reductions of Large Integers for SIMD. CoRR abs/2308.16432 (2023) - 2022
- [c49]Pengchang Ren, Reiji Suda, Vorapong Suppakitpaisarn:
Throughput-Optimized Implementation of Isogeny-based Cryptography on Vectorized ARM SVE Processor. CANDAR 2022: 165-171 - [i6]Takuto Mitsunobu, Reiji Suda, Vorapong Suppakitpaisarn:
Worst-Case Analysis of LPT Scheduling on Small Number of Non-Identical Processors. CoRR abs/2203.02724 (2022) - 2020
- [j8]Kazuhiko Komatsu, Ayumu Gomi, Ryusuke Egawa, Daisuke Takahashi, Reiji Suda, Hiroyuki Takizawa:
Xevolver: A code transformation framework for separation of system-awareness from application codes. Concurr. Comput. Pract. Exp. 32(7) (2020) - [c48]Emil Vatai, Utsav Singhal, Reiji Suda:
Diamond matrix powers kernels. HPC Asia 2020: 102-113 - [c47]Yushi Qiu, Reiji Suda:
Train-by-Reconnect: Decoupling Locations of Weights from Their Values. NeurIPS 2020 - [i5]Yushi Qiu, Reiji Suda:
Permute to Train: A New Dimension to Training Deep Neural Networks. CoRR abs/2003.02570 (2020)
2010 – 2019
- 2018
- [j7]Tong Wang, Reiji Suda:
Fast Generation of Poisson-Disk Samples on Mesh Surfaces by Progressive Sample Projection. Proc. ACM Comput. Graph. Interact. Tech. 1(2): 30:1-30:18 (2018) - [c46]Zhen Wang, Mulya Agung, Ryusuke Egawa, Reiji Suda, Hiroyuki Takizawa:
Automatic Hyperparameter Tuning of Machine Learning Models under Time Constraints. IEEE BigData 2018: 4967-4973 - [c45]Osni Marques, Reiji Suda, Jakub Kurzak, Akihiro Fujii:
Introduction to iWAPT 2018. IPDPS Workshops 2018: 1047 - 2017
- [j6]Yuki Takeuchi, Yoshihide Yoshimoto, Reiji Suda:
Second order accuracy finite difference methods for space-fractional partial differential equations. J. Comput. Appl. Math. 320: 101-119 (2017) - [c44]Tong Wang, Reiji Suda:
Fast maximal Poisson-disk sampling by randomized tiling. High Performance Graphics 2017: 16:1-16:10 - [c43]Reiji Suda:
Embedded-DSL-Like Code Generation and Optimization of Bayesian Estimation Routines with User-Defined Source-to-Source Code Transformation Framework Xevolver. CANDAR 2017: 382-388 - [c42]Osni Marques, Reiji Suda:
Introduction to iWAPT Workshop. IPDPS Workshops 2017: 1341 - 2016
- [j5]Reiji Suda, Hiroyuki Takizawa, Shoichi Hirasawa:
Xevtgen: Fortran code transformer generator for high performance scientific codes. Int. J. Netw. Comput. 6(2): 263-289 (2016) - [c41]Reiji Suda, Hiroyuki Takizawa:
Xevdriver: A Software System Supporting XML-based Source-to-Source Code Transformations on Fortran Programs. CANDAR 2016: 522-528 - [c40]Hirokazu Honda, Yoshinori Tamada, Reiji Suda:
Efficient Parallel Algorithm for Optimal DAG Structure Search on Parallel Computer with Torus Network. ICA3PP 2016: 483-502 - 2015
- [c39]Reiji Suda, Hiroyuki Takizawa, Shoichi Hirasawa:
Xevtgen: Fortran Code Transformer Generator for High Performance Scientific Codes. CANDAR 2015: 528-534 - [c38]Yosuke Kumagai, Akihiro Fujii, Teruo Tanaka, Yusuke Hirota, Takeshi Fukaya, Toshiyuki Imamura, Reiji Suda:
Performance Analysis of the Chebyshev Basis Conjugate Gradient Method on the K Computer. PPAM (1) 2015: 74-85 - 2014
- [c37]Kamil Rocki, Martin Burtscher, Reiji Suda:
The future of accelerator programming: abstraction, performance or can we have both? SAC 2014: 886-895 - 2013
- [c36]Reiji Suda, Luo Cheng, Takahiro Katagiri:
A Mathematical Method for Online Autotuning of Power and Energy Consumption with Corrected Temperature Effects. ICCS 2013: 1302-1311 - [c35]Kamil Rocki, Martin Burtscher, Reiji Suda:
The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both? ICPADS 2013: 442-443 - [c34]Kamil Rocki, Reiji Suda:
High Performance GPU Accelerated Local Optimization in TSP. IPDPS Workshops 2013: 1788-1796 - [c33]Tian Xiaochen, Kamil Rocki, Reiji Suda:
Register level sort algorithm on multi-core SIMD processors. IA3@SC 2013: 9:1-9:8 - [c32]Cheng Luo, Reiji Suda:
An Efficient Task Partitioning and Scheduling Method for Symmetric Multiple GPU Architecture. TrustCom/ISPA/IUCC 2013: 1133-1142 - [i4]Vivek S. Nittoor, Reiji Suda:
Enumeration Based Search Algorithm For Finding A Regular Bi-partite Graph Of Maximum Attainable Girth For Specified Degree And Number Of Vertices. CoRR abs/1302.5754 (2013) - [i3]Vivek S. Nittoor, Reiji Suda:
Analysis Of The Girth For Regular Bi-partite Graphs With Degree 3. CoRR abs/1302.5755 (2013) - 2012
- [j4]Da Qi Ren, Reiji Suda:
Global optimization model on power efficiency of GPU and multicore processing element for SIMD computing with CUDA. Comput. Sci. Res. Dev. 27(4): 319-327 (2012) - [c31]Kamil Rocki, Reiji Suda:
Accelerating 2-opt and 3-opt Local Search Using GPU in the Travelling Salesman Problem. CCGRID 2012: 705-706 - [c30]Kamil Rocki, Reiji Suda:
An efficient GPU implementation of a multi-start TSP solver for large problem instances. GECCO (Companion) 2012: 1441-1442 - [c29]Cheng Luo, Reiji Suda:
MSSM: An Efficient Scheduling Mechanism for CUDA Basing on Task Partition. ICPADS 2012: 548-555 - [c28]Kamil Rocki, Reiji Suda:
Accelerating 2-opt and 3-opt local search using GPU in the travelling salesman problem. HPCS 2012: 489-495 - [c27]Kamil Rocki, Reiji Suda:
Abstract: High Performance GPU Accelerated TSP Solver. SC Companion 2012: 1411-1412 - [c26]Kamil Rocki, Reiji Suda:
Poster: High Performance GPU Accelerated TSP Solver. SC Companion 2012: 1413-1414 - [c25]Kamil Rocki, Reiji Suda:
Brief announcement: a GPU accelerated iterated local search TSP solver. SPAA 2012: 188-189 - [c24]Ayumu Tomiyama, Reiji Suda:
Automatic Parameter Optimization for Edit Distance Algorithm on GPU. VECPAR 2012: 420-434 - [r1]Da Qi Ren, Reiji Suda:
Energy-Aware SIMD Algorithm Design on GPU and Multicore Architectures. Handbook of Energy-Aware and Green Computing 2012: 427-442 - [i2]Vivek S. Nittoor, Reiji Suda:
Balanced Tanner Units And Their Properties. CoRR abs/1212.6882 (2012) - [i1]Vivek S. Nittoor, Reiji Suda:
Partition Parameters for Girth Maximum (m, r) BTUs. CoRR abs/1212.6883 (2012) - 2011
- [c23]Da Qi Ren, Reiji Suda:
Experimental Estimation and Analysis of the Power Efficiency of CUDA Processing Element on SIMD Computing. ACIS-ICIS 2011: 405-408 - [c22]Kamil Rocki, Reiji Suda:
Parallel Monte Carlo Tree Search Scalability Discussion. Australasian Conference on Artificial Intelligence 2011: 452-461 - [c21]Cheng Luo, Reiji Suda:
A Performance and Energy Consumption Analytical Model for GPU. DASC 2011: 658-665 - [c20]Kamil Rocki, Reiji Suda:
Large-Scale Parallel Monte Carlo Tree Search on GPU. IPDPS Workshops 2011: 2034-2037 - [c19]Vivek S. Nittoor, Reiji Suda:
Parallelizing a Coarse Grain Graph Search Problem Based upon LDPC Codes on a Supercomputer. PARELEC 2011: 7-12 - [c18]Kamil Rocki, Reiji Suda:
Parallel Monte Carlo Tree Search on GPU. SCAI 2011: 80-89 - [c17]Takehiko Nawata, Reiji Suda:
APTCC: Auto Parallelizing Translator From C To CUDA. ICCS 2011: 352-361 - 2010
- [c16]Da Qi Ren, Reiji Suda:
Investigation on the power efficiency of multi-core and GPU Processing Element in large scale SIMD computation with CUDA. Green Computing Conference 2010: 309-316 - [p4]Reiji Suda, Ken Naono, Keita Teranishi, John Cavazos:
Software Automatic Tuning: Concepts and State-of-the-Art Results. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 3-15 - [p3]Yuta Sawa, Reiji Suda:
Autotuning Method for Deciding Block Size Parameters in Dynamically Load-Balanced BLAS. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 33-48 - [p2]Tamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida:
Toward Automatic Performance Tuning for Numerical Simulations in the SILC Matrix Computation Framework. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 175-192 - [p1]Reiji Suda:
A Bayesian Method of Online Automatic Tuning. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 275-293 - [e1]Ken Naono, Keita Teranishi, John Cavazos, Reiji Suda:
Software Automatic Tuning, From Concepts to State-of-the-Art Results. Springer 2010, ISBN 978-1-4419-6934-7 [contents]
2000 – 2009
- 2009
- [c15]Reiji Suda, Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka:
Aspects of GPU for general purpose high performance computing. ASP-DAC 2009: 216-223 - [c14]Da Qi Ren, Reiji Suda:
Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA. CSE (1) 2009: 424-429 - [c13]Da Qi Ren, Reiji Suda:
Modeling and Estimation for the Power Consumption of Matrix Computation on Multi-core Platform. CSO (1) 2009: 42-46 - [c12]Reiji Suda, Da Qi Ren:
Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing. PDCAT 2009: 432-438 - [c11]Da Qi Ren, Reiji Suda:
Modeling and Optimizing the Power Performance of Large Matrices Multiplication on Multi-core and GPU Platform with CUDA. PPAM (1) 2009: 421-428 - [c10]Kamil Rocki, Reiji Suda:
Parallel Minimax Tree Searching on GPU. PPAM (1) 2009: 449-456 - 2008
- [c9]Reiji Suda:
Divisible load scheduling with improved asymptotic optimality. CLUSTER 2008: 262-267 - [c8]Da Qi Ren, Dennis Giannacopoulos, Reiji Suda:
An optimized Dynamic Load Balancing method for parallel 3-D mesh refinement for finite element electromagnetics with Tetrahedra. CLUSTER 2008: 430-436 - 2007
- [c7]Akira Nukada, Daisuke Takahashi, Reiji Suda, Akira Nishida:
High Performance FFT on SGI Altix 3700. HPCC 2007: 396-407 - [c6]Tamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida:
Cloth Simulation in the SILC Matrix Computation Framework: A Case Study. PPAM 2007: 1086-1095 - 2006
- [c5]Tamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida:
Distributed SILC: An Easy-to-Use Interface for MPI-Based Parallel Matrix Computation Libraries. PARA 2006: 860-870 - 2005
- [c4]Hisashi Kotakemori, Hidehiko Hasegawa, Tamito Kajiyama, Akira Nukada, Reiji Suda, Akira Nishida:
Performance Evaluation of Parallel Sparse Matrix-Vector Products on SGI Altix3700. IWOMP 2005: 153-163 - [c3]Tamito Kajiyama, Akira Nukada, Hidehiko Hasegawa, Reiji Suda, Akira Nishida:
SILC: A Flexible and Environment-Independent Interface for Matrix Computation Libraries. PPAM 2005: 928-935 - 2002
- [j3]Reiji Suda, Masayasu Takami:
A fast spherical harmonics transform algorithm. Math. Comput. 71(238): 703-715 (2002)
1990 – 1999
- 1999
- [j2]Reiji Suda, Akira Nishida, Yoshio Oyanagi:
A high performance parallelization scheme for the Hessenberg double shift QR algorithm. Parallel Comput. 25(6): 729-744 (1999) - 1998
- [c2]Reiji Suda, Yoshio Oyanagi:
The Ensparsed LU Decomposition Method for Large Scale Circuit Transient Analysis. ASP-DAC 1998: 507-512 - 1995
- [c1]Reiji Suda, Yoshio Oyanagi:
Implementation of Sparta, a Highly Parallel Circuit Simulator by the Preconditioned Jacobi Method, on a Distributed Memory Machine. International Conference on Supercomputing 1995: 209-217 - 1994
- [j1]Reiji Suda, Ryotaro Kamikawai, Yasuo Wada, Willy Hioe, Mutsumi Hosoya, Eiichi Goto:
QFP wiring problem-introduction and analytical considerations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 13(1): 48-56 (1994)
Coauthor Index
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