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Jan-Jan Wu
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2020 – today
- 2024
- [c111]Chi-Yu Chiu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu:
Effective Compression of Language Models by Combining Pruning and Knowledge Distillation. COMPSAC 2024: 429-438 - 2023
- [c110]Chien-Hung Lin, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu:
Accelerate Inference of CNN Models on CPU via Column Combining Based on Simulated Annealing. candar 2023: 20-29 - [c109]Chao-Yu Lee, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu:
Function Clustering to Optimize Resource Utilization on Container Platform. ICPADS 2023: 2724-2725 - [c108]Cheng-Hung Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu:
Exploiting Fine-Grained Structured Pruning for Efficient Inference on CNN Model. ICPADS 2023: 2835-2836 - 2022
- [j36]Hong-Xuan Wei, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu, An-Tai Chen:
CNN Models Acceleration Using Filter Pruning and Sparse Tensor Core. Int. J. Netw. Comput. 12(2): 270-294 (2022) - [j35]Horng-Ruey Huang
, Ding-Yong Hong
Accelerating Video Captioning on Heterogeneous System Architectures. ACM Trans. Archit. Code Optim. 19(3): 38:1-38:25 (2022) - [c107]Yu-Jen Chang, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu:
Efficient Inference on Convolutional Neural Networks by Image Difficulty Prediction. IEEE Big Data 2022: 5672-5681 - [c106]Kuan-Wei Lu
Efficient Dual Batch Size Deep Learning for Distributed Parameter Server Systems. COMPSAC 2022: 630-639 - [c105]Guan-Chen Pan, Pangfeng Liu, Jan-Jan Wu:
A Cloud-Native Online Judge System. COMPSAC 2022: 1293-1298 - [c104]Yi You, Pangfeng Liu, Ding-Yong Hong
Accelerating Convolutional Neural Networks via Inter-operator Scheduling. ICPADS 2022: 916-923 - 2021
- [c103]Chang-Han Chiang, Pangfeng Liu, Da-Wei Wang, Ding-Yong Hong
Optimal Branch Location for Cost-effective Inference on Branchynet. IEEE BigData 2021: 5071-5080 - [c102]An-Tai Chen, Pangfeng Liu, Ding-Yong Hong
Accelerate CNN Models via Filter Pruning and Sparse Tensor Core. CANDAR 2021: 1-9 - [c101]Horng-Ruey Huang, Ding-Yong Hong
Efficient Video Captioning on Heterogeneous System Architectures. IPDPS 2021: 1035-1045 - [c100]Yung-Chen Chen, Pangfeng Liu, Jan-Jan Wu:
Parallel Asynchronous Stochastic Dual Coordinate Descent Algorithms for High Efficiency and Stable Convergence. PDP 2021: 44-53 - 2020
- [c99]Yi-Long Chen, Pangfeng Liu, Jan-Jan Wu:
An Adaptive Layer Expansion Algorithm for Efficient Training of Deep Neural Networks. IEEE BigData 2020: 420-425 - [c98]Tse-Wen Chen, Pangfeng Liu, Jan-Jan Wu:
Exploiting Data Entropy for Neural Network Compression. IEEE BigData 2020: 5007-5016 - [c97]Ching Ya Liao, Pangfeng Liu, Jan-Jan Wu:
Convolution Filter Pruning for Transfer Learning on Small Dataset. ICS 2020: 79-84
2010 – 2019
- 2019
- [j34]Olivier Valery
A collaborative CPU-GPU approach for deep learning on mobile devices. Concurr. Comput. Pract. Exp. 31(17) (2019) - [j33]Sheng-Yu Fu, Ding-Yong Hong
Optimizing data permutations in structured loads/stores translation and SIMD register mapping for a cross-ISA dynamic binary translator. J. Syst. Archit. 98: 173-190 (2019) - [j32]Ding-Yong Hong
Processor-Tracing Guided Region Formation in Dynamic Binary Translation. ACM Trans. Archit. Code Optim. 15(4): 52:1-52:25 (2019) - [j31]Yu-Ping Liu, Ding-Yong Hong
Exploiting SIMD Asymmetry in ARM-to-x86 Dynamic Binary Translation. ACM Trans. Archit. Code Optim. 16(1): 2:1-2:24 (2019) - [c96]Yu-Tung Hsieh, Chuan-Yu Lee, Ching-Chi Lin
A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction. IEEE BigData 2019: 298-306 - [c95]Pangfeng Liu, Jan-Jan Wu:
Task Scheduling Techniques for Deep Learning in Heterogeneous Environment. CANDAR Workshops 2019: 141-147 - [c94]Chih-Min Lin, Sheng-Yu Fu, Ding-Yong Hong
Exploiting Vector Processing in Dynamic Binary Translation. ICPP 2019: 93:1-93:10 - 2018
- [j30]Li-Yung Ho
Workload prediction and balance for distributed reachability processing for large-scale attribute graphs. Concurr. Comput. Pract. Exp. 30(6) (2018) - [j29]Olivier Valery
A collaborative CPU-GPU approach for principal component analysis on mobile heterogeneous platforms. J. Parallel Distributed Comput. 120: 44-61 (2018) - [j28]Sheng-Yu Fu
Efficient and retargetable SIMD translation in a dynamic binary translator. Softw. Pract. Exp. 48(6): 1312-1330 (2018) - [j27]Ding-Yong Hong
Improving SIMD Parallelism via Dynamic Binary Translation. ACM Trans. Embed. Comput. Syst. 17(3): 61:1-61:27 (2018) - [c93]Po-Yen Wu, Pangfeng Liu, Jan-Jan Wu:
Versatile Communication Optimization for Deep Learning by Modularized Parameter Server. IEEE BigData 2018: 366-371 - [c92]Sheng-Yu Fu, Chih-Min Lin, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu:
Exploiting SIMD capability in an ARMv7-to-ARMv8 dynamic binary translator. CASES 2018: 14:1-14:3 - [c91]Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu:
Adaptive Communication for Distributed Deep Learning on Commodity GPU Cluster. CCGrid 2018: 283-290 - [c90]Cing-Fu Jhu, Pangfeng Liu, Jan-Jan Wu:
Data Pinning and Back Propagation Memory Optimization for Deep Learning on GPU. CANDAR 2018: 19-28 - [c89]Sheng-Ping Wang, Pangfeng Liu, Jan-Jan Wu:
Communication Usage Optimization of Gradient Sparsification with Aggregation in Deep Learning. ICNCC 2018: 22-26 - [c88]Ming-Chia Kuo, Pangfeng Liu, Jan-Jan Wu:
An Efficient Dynamic Load-Balancing Large Scale Graph-Processing System. ICNCC 2018: 294-298 - [c87]Ching-Chi Lin
Energy-Efficient Core Allocation and Deployment for Container-Based Virtualization. ICPADS 2018: 93-101 - [c86]Ching-Yuan Tsai, Ching-Chi Lin
Communication Scheduling Optimization for Distributed Deep Learning Systems. ICPADS 2018: 739-746 - [c85]Olivier Valery, Pangfeng Liu, Jan-Jan Wu:
Low Precision Deep Learning Training on Mobile Heterogeneous Platform. PDP 2018: 109-117 - [c84]Shih-Kai Lin, Ding-Yong Hong
Dynamic tuning of applications using restricted transactional memory. RACS 2018: 249-254 - 2017
- [j26]Meng-Ju Hsieh, Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu:
Data partition optimisation for column-family NoSQL databases. Int. J. Big Data Intell. 4(4): 263-275 (2017) - [c83]Yu-Ping Liu, Ding-Yong Hong
Exploiting Asymmetric SIMD Register Configurations in ARM-to-x86 Dynamic Binary Translation. PACT 2017: 343-355 - [c82]Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu, Chia Chun Shih, Chi-Chang Huang, Chao-Wen Huang:
Efficient Cache Update for In-Memory Cluster Computing with Spark. CCGrid 2017: 21-30 - [c81]Yi-Lin Cheng, Ching-Chi Lin
High Resource Utilization Auto-Scaling Algorithms for Heterogeneous Container Configurations. ICPADS 2017: 143-150 - [c80]Olivier Valery, Pangfeng Liu, Jan-Jan Wu:
CPU/GPU Collaboration Techniques for Transfer Learning on Mobile Devices. ICPADS 2017: 477-484 - [c79]Sheng-Yu Fu, Ding-Yong Hong
Dynamic translation of structured Loads/Stores and register mapping for architectures with SIMD extensions. LCTES 2017: 31-40 - 2016
- [j25]Ding-Yong Hong
Optimizing Control Transfer and Memory Virtualization in Full System Emulators. ACM Trans. Archit. Code Optim. 12(4): 47:1-47:24 (2016) - [c78]Ching-Chi Lin
An Energy-Efficient Scheduler for Throughput Guaranteed Jobs on Asymmetric Multi-Core Platforms. ICPADS 2016: 810-817 - [c77]Ding-Yong Hong, Sheng-Yu Fu, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu:
Exploiting Longer SIMD Lanes in Dynamic Binary Translation. ICPADS 2016: 853-860 - 2015
- [j24]Ching-Chi Lin
Energy-efficient task scheduling for multi-core platforms with per-core DVFS. J. Parallel Distributed Comput. 86: 71-81 (2015) - [j23]Chun-Chen Hsu, Ding-Yong Hong
A dynamic binary translation system in a client/server environment. J. Syst. Archit. 61(7): 307-319 (2015) - [c76]Fei Shao, Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
Efficient distributed maximum matching for solving the container exchange problem in the maritime industry. IEEE BigData 2015: 1031-1036 - [c75]Ting-Chou Lin, Ching-Chi Lin
Job Dispatching and Scheduling for Heterogeneous Clusters - A Case Study on the Billing Subsystem of CHT Telecommunication. COMPSAC 2015: 748-757 - [c74]Sheng-Yu Fu, Jan-Jan Wu, Wei-Chung Hsu:
Improving SIMD code generation in QEMU. DATE 2015: 1233-1236 - [c73]Ting-Wei Chang, Ching-Chi Lin
Resource Provision for Batch and Interactive Workloads in Data Centers. ICPADS 2015: 422-429 - [c72]Sheng-Yu Fu, Ding-Yong Hong
SIMD Code Translation in an Enhanced HQEMU. ICPADS 2015: 507-514 - [c71]Li-Yung Ho, Meng-Ju Hsieh, Jan-Jan Wu, Pangfeng Liu:
Data Partition Optimization for Column-Family NoSQL Databases. SmartCity 2015: 668-675 - [c70]Olivier Valery
A Partial Workload Offloading Framework in a Mobile Cloud Computing Context. SOCA 2015: 43-50 - 2014
- [j22]Ding-Yong Hong
Efficient and Retargetable Dynamic Binary Translation on Multicores. IEEE Trans. Parallel Distributed Syst. 25(3): 622-632 (2014) - [c69]Ching-Chi Lin
An energy-efficient hypervisor scheduler for asymmetric multi-core. GCCE 2014: 507-509 - [c68]Ching-Chi Lin
An Energy-Efficient Task Scheduler for Multi-core Platforms with Per-core DVFS Based on Task Characteristics. ICPP 2014: 381-390 - [c67]Olivier Valery, Wei-Shu Hung, Ju-Cheng Chou, Pangfeng Liu
Adaptive OpenCL Computation Offloading Framework on Mobile Device. ICS 2014: 1335-1344 - [c66]Chao-Rui Chang, Jan-Jan Wu, Wei-Chung Hsu
Efficient memory virtualization for Cross-ISA system mode emulation. VEE 2014: 117-128 - [c65]Yi-Hong Lyu, Ding-Yong Hong
DBILL: an efficient and retargetable dynamic binary instrumentation framework using llvm backend. VEE 2014: 141-152 - 2013
- [c64]Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
Data Replication for Distributed Graph Processing. IEEE CLOUD 2013: 319-326 - [c63]Li-Yung Ho, Tsung-Han Li, Jan-Jan Wu, Pangfeng Liu
Kylin: An efficient and scalable graph data processing system. IEEE BigData 2013: 193-198 - [c62]Ching-Chi Lin
Automatic Resource Scaling for Web Applications in the Cloud. GPC 2013: 81-90 - [c61]Chih-Yuan Yeh, Chung-Yao Kao, Wei-Shu Hung, Ching-Chi Lin, Pangfeng Liu
GPU Virtualization Support in Cloud System. GPC 2013: 423-432 - [c60]Chih-Hao Chang, Pangfeng Liu
Sampling-Based Phase Classification and Prediction for Multi-threaded Program Execution on Multi-core Architectures. ICPP 2013: 349-358 - [c59]Chun-Chen Hsu, Pangfeng Liu
Improving dynamic binary optimization through early-exit guided code region formation. VEE 2013: 23-32 - 2012
- [j21]Jan-Jan Wu, Hung-Jui Chang, Yufan Ho, Pangfeng Liu
Scheduling of variable-time jobs for distributed systems with heterogeneous processor cardinality. Int. J. Ad Hoc Ubiquitous Comput. 10(2): 112-121 (2012) - [c58]Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
Distributed Graph Database for Large-Scale Social Computing. IEEE CLOUD 2012: 455-462 - [c57]Ching-Chi Lin
Automatic Resource Scaling Based on Application Service Requirements. IEEE CLOUD 2012: 941-942 - [c56]Chao-Rui Chang, Meng-Ju Hsieh, Jan-Jan Wu, Po-Yen Wu, Pangfeng Liu
HSQL: A Highly Scalable Cloud Database for Multi-user Query Processing. IEEE CLOUD 2012: 943-944 - [c55]Ding-Yong Hong
HQEMU: a multi-threaded and retargetable dynamic binary translator on multicores. CGO 2012: 104-113 - [c54]Jyun-Shiung Yang, Pangfeng Liu
Workload characteristics-aware virtual machine consolidation algorithms. CloudCom 2012: 42-49 - [c53]Chia-Wei Chang, Pangfeng Liu
Probability-Based Cloud Storage Providers Selection Algorithms with Maximum Availability. ICPP 2012: 199-208 - 2011
- [j20]Jan-Jan Wu, Shu-Fan Shih, Hsiangkai Wang, Pangfeng Liu
QoS-aware replica placement for grid computing. Concurr. Comput. Pract. Exp. 24(3): 193-213 (2011) - [j19]Jan-Jan Wu, Shu-Fan Shih, Pangfeng Liu
Optimizing server placement in distributed systems in the presence of competition. J. Parallel Distributed Comput. 71(1): 62-76 (2011) - [c52]Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
Optimal Algorithms for Cross-Rack Communication Optimization in MapReduce Framework. IEEE CLOUD 2011: 420-427 - [c51]Ching-Chi Lin
Energy-Aware Virtual Machine Dynamic Provision and Scheduling for Cloud Computing. IEEE CLOUD 2011: 736-737 - [c50]Yung-Ching Hsu, Pangfeng Liu
Job sequence scheduling for cloud computing. CDC 2011: 212-219 - [c49]Chao-En Yen, Jyun-Shiung Yang, Pangfeng Liu
Roystonea: A Cloud Computing System with Pluggable Component Architecture. ICPADS 2011: 80-87 - [c48]Chun-Chen Hsu, Pangfeng Liu
LnQ: Building High Performance Dynamic Binary Translators with Existing Compiler Backends. ICPP 2011: 226-234 - [c47]Meng-Ju Hsieh, Chao-Rui Chang, Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu
SQLMR : A Scalable Database Management System for Cloud Computing. ICPP 2011: 315-324 - [c46]Ching-Chi Lin, Pangfeng Liu
A Novel Approach for Finding Optimization Opportunities in Multicore Architectures. ISPA 2011: 238-243 - [c45]Chao-Rui Chang, Jan-Jan Wu, Pangfeng Liu
An Empirical Study on Memory Sharing of Virtual Machines for Server Consolidation. ISPA 2011: 244-249 - [c44]Ching-Chi Lin
Energy-efficient Virtual Machine Provision Algorithms for Cloud Systems. UCC 2011: 81-88 - [c43]Yufan Ho, Pangfeng Liu
Server Consolidation Algorithms with Bounded Migration Cost and Performance Guarantees in Cloud Computing. UCC 2011: 154-161 - 2010
- [c42]Jan-Jan Wu, Pangfeng Liu
Metadata Partitioning for Large-Scale Distributed Storage Systems. IEEE CLOUD 2010: 212-219 - [c41]Wei-Cheng Liao, Jan-Jan Wu:
Replica-Aware Job Scheduling in Distributed Systems. GPC 2010: 290-299 - [c40]Gow-Hsing King, Zong-You Cai, Yan-Ying Lu, Jan-Jan Wu, Hung-Pin Shih, Chao-Rui Chang:
A High-Performance Multi-user Service System for Financial Analytics Based on Web Service and GPU Computation. ISPA 2010: 327-333
2000 – 2009
- 2009
- [j18]Lien-Wu Chen, Weikuo Chu, Yu-Chee Tseng, Jan-Jan Wu:
Route Throughput Analysis with Spectral Reuse for Multi-Rate Mobile Ad Hoc Networks. J. Inf. Sci. Eng. 25(5): 1593-1604 (2009) - [j17]Jan-Jan Wu, Yi-Fang Lin, Da-Wei Wang, Chien-Min Wang
Optimizing server placement for parallel I/O in switch-based clusters. J. Parallel Distributed Comput. 69(3): 266-281 (2009) - [j16]Jan-Jan Wu, En-Jan Chou, Pangfeng Liu
Computation and communication schedule optimization for data-sharing tasks on uniprocessor. J. Syst. Archit. 55(7-9): 363-372 (2009) - [j15]Chieh-Wen Cheng, Jan-Jan Wu, Pangfeng Liu
QoS-aware, access-efficient, and storage-efficient replica placement in grid environments. J. Supercomput. 49(1): 42-63 (2009) - [j14]Lien-Wu Chen, Yu-Chee Tseng, You-Chiun Wang, Da-Wei Wang, Jan-Jan Wu:
Exploiting Spectral Reuse in Routing, Resource Allocation, and Scheduling for IEEE 802.16 Mesh Networks. IEEE Trans. Veh. Technol. 58(1): 301-313 (2009) - [c39]Chun-Ting Chen, Chun-Chen Hsu, Jan-Jan Wu, Pangfeng Liu
GFS: A Distributed File System with Multi-source Data Access and Replication for Grid Computing. GPC 2009: 119-130 - [c38]De-Yu Chen, Jan-Jan Wu, Pangfeng Liu
Data-bandwidth-aware Job Scheduling in Grid and Cluster Environments. ICPADS 2009: 414-421 - [c37]Hung-Jui Chang, Jan-Jan Wu, Pangfeng Liu
Job Scheduling Techniques for Distributed Systems with Heterogeneous Processor Cardinality. ISPAN 2009: 57-62 - 2008
- [j13]Jan-Jan Wu, Yi-Fang Lin, Pangfeng Liu
Optimal replica placement in hierarchical Data Grids with locality assurance. J. Parallel Distributed Comput. 68(12): 1517-1538 (2008) - [c36]Li-Yung Ho, Pangfeng Liu
The Development of a Drug Discovery Virtual Screening Application on Taiwan Unigrid. GPC 2008: 38-47 - [c35]Yi-Fang Lin, Jan-Jan Wu, Pangfeng Liu
A List-Based Strategy for Optimal Replica Placement in Data Grid Systems. ICPP 2008: 198-205 - 2007
- [j12]Chien-Min Wang
Optimizing server placement in hierarchical grid environments. J. Supercomput. 42(3): 267-282 (2007) - [j11]Pangfeng Liu
An optimal scheduling algorithm for an agent-based multicast strategy on irregular networks. J. Supercomput. 42(3): 283-302 (2007) - [c34]Chien-Min Wang, Hsi-Min Chen, Chun-Chen Hsu, Jan-Jan Wu:
A High-Performance Virtual Storage System for Taiwan UniGrid. GPC 2007: 27-38 - [c33]Pangfeng Liu, Yi-Min Chung, Jan-Jan Wu, Chien-Min Wang:
Server Placement in the Presence of Competition. GPC 2007: 124-135 - [c32]Chien-Min Wang, Chun-Chen Hsu, Pangfeng Liu, Hsi-Min Chen, Jan-Jan Wu:
Optimizing Server Placement for QoS Requirements in Hierarchical Grid Environments. GPC 2007: 181-192 - [c31]En-Jan Chou, Pangfeng Liu
Computation and communication schedule optimization for jobs with shared data. ICPADS 2007: 1-8 - [c30]Pangfeng Liu, Chung-Hao Chuang, Jan-Jan Wu:
Block-Based Allocation Algorithms for FLASH Memory in Embedded Systems. PaCT 2007: 569-578 - [c29]Lien-Wu Chen, Yu-Chee Tseng, Da-Wei Wang, Jan-Jan Wu:
Exploiting Spectral Reuse in Resource Allocation, Scheduling, and Routing for IEEE 802.16 Mesh Networks. VTC Fall 2007: 1608-1612 - 2006
- [j10]Min-Bin Chen, Tyng-Ruey Chuang, Jan-Jan Wu:
Parallel divide-and-conquer scheme for 2D Delaunay triangulation. Concurr. Comput. Pract. Exp. 18(12): 1595-1612 (2006) - [j9]Yih-Fang Lin, Chien-Min Wang
Optimizing I/O server placement for parallel I/O on switch-based irregular networks. J. Supercomput. 36(3): 201-217 (2006) - [c28]Pangfeng Liu
Optimal Replica Placement Strategy for Hierarchical Data Grid Systems. CCGRID 2006: 417-420 - [c27]Chien-Min Wang
Efficient Multi-Source Data Transfer in Data Grids. CCGRID 2006: 421-424 - [c26]Chien-Min Wang, Chun-Chen Hsu, Pangfeng Liu, Hsi-Min Chen, Jan-Jan Wu:
Optimizing Server Placement in Hierarchical Grid Environments. GPC 2006: 1-11 - [c25]Yi-Fang Lin, Zhe-Hao Kang, Pangfeng Liu, Jan-Jan Wu:
An Optimal Scheduling Algorithm for an Agent-Based Multicast Strategy on Irregular Networks. GPC 2006: 165-174 - [c24]Hsiangkai Wang, Pangfeng Liu
A QoS-Aware Heuristic Algorithm for Replica Placement. GRID 2006: 96-103 - [c23]Yi-Fang Lin, Pangfeng Liu
Optimal Placement of Replicas in Data Grid Environments with Locality Assurance. ICPADS (1) 2006: 465-474 - [c22]Chun-Chen Hsu, Pangfeng Liu
Generalized Edge Coloring for Channel Assignment in Wireless Networks. ICPP 2006: 82-92 - 2005
- [c21]Pangfeng Liu
I/O Processor Allocation for Mesh Cluster Computers. ICPADS (1) 2005: 105-111 - [c20]Jan-Jan Wu, Yih-Fang Lin, Pangfeng Liu
Efficient Distributed Algorithms for Parallel I/O Scheduling. ICPADS (1) 2005: 460-466 - [c19]Hsi-Min Chen, Jan-Jan Wu, Chien-Min Wang
Towards a Service-based Collaborative Framework for Data-intensive Grid Applications. ICPADS (2) 2005: 689-693 - [c18]Jan-Jan Wu, Pangfeng Liu
Distributed Scheduling of Parallel I/O in the Presence of Data Replication. IPDPS 2005 - 2004
- [j8]Min-Bin Chen, Tyng-Ruey Chuang
Efficient parallel implementations of near Delaunay triangulation with High Performance Fortran. Concurr. Pract. Exp. 16(12): 1143-1159 (2004) - [j7]Jan-Jan Wu, Shih-Hsien Yeh, Pangfeng Liu
Efficient Multiple Multicast on Heterogeneous Network of Workstations. J. Supercomput. 29(1): 59-88 (2004) - [c17]Yih-Fang Lin, Chien-Min Wang, Jan-Jan Wu:
Optimizing I/O Server Placement for Parallel I/O on Switch-Based Irregular Networks. ISPA 2004: 997-1006 - 2003
- [j6]Yu-Chee Tseng, Lien-Wu Chen, Ming-Hour Yang, Jan-Jan Wu:
A Stop-or-Move Mobility model for PCS networks and its location-tracking strategies. Comput. Commun. 26(12): 1288-1301 (2003) - [c16]Pangfeng Liu
Efficient Parallel I/O Scheduling in the Presence of Data Duplication. ICPP 2003: 231-238 - [c15]Jan-Jan Wu, Da-Wei Wang, Yih-Fang Lin:
Placement of I/O servers to improve parallel I/O performance on switch-based clusters. ICS 2003: 244-251 - 2002
- [j5]Pangfeng Liu, Jan-Jan Wu, Chih-Hsuae Yang:
Locality-Preserving Dynamic Load Balancing for Data-Parallel Applications on Distributed-Memory Multiprocessors. J. Inf. Sci. Eng. 18(6): 1037-1048 (2002) - [c14]Pangfeng Liu
An Incremental Network Topology for Contention-free and Deadlock-free Routing. ICPADS 2002: 209-215 - [c13]Min-Bin Chen, Tyng-Ruey Chuang, Jan-Jan Wu:
A Parallel Divide-and-Conquer Scheme for Delaunay Triangulation. ICPADS 2002: 571-576 - [c12]PeiZong Lee, Jan-Jan Wu, Chih-Hao Chang:
Partitioning Unstructured Meshes for Homogeneous and Heterogeneous Parallel Computing Environments. ICPP 2002: 315-322 - 2001
- [c11]Min-Bin Chen, Tyng-Ruey Chuang, Jan-Jan Wu:
Parallel 2D Delaunay Triangulations in HPF and MPI. IPDPS 2001: 34 - [c10]Pangfeng Liu, Jan-Jan Wu, Yi-Fang Lin, Shih-Hsien Yeh:
A Simple Incremental Network Topology for Wormhole Switch-Based Networks. IPDPS 2001: 55 - [c9]Min-Bin Chen, Tyng-Ruey Chuang, Jan-Jan Wu:
Efficient Parallel Implementations of 2D Delaunay Triangulation with High Performance Fortran. PP 2001 - 2000
- [j4]Jan-Jan Wu:
An Interleaving Transformation for Parallelizing Reductions for Distributed-Memory Parallel Machines. J. Supercomput. 15(3): 321-339 (2000) - [c8]Shih-Hsien Yeh, Jan-Jan Wu, Pangfeng Liu:
Scheduling Multiple Multicast for Heterogeneous Network of Workstations with Non-Blocking Message-Passing. ICPP Workshops 2000: 395-402
1990 – 1999
- 1999
- [j3]Jan-Jan Wu, Marina C. Chen, James R. Cowie:
CRAFT: a framework for F90/HPF compiler optimizations. Concurr. Pract. Exp. 11(10): 529-569 (1999) - [c7]Jan-Jan Wu, Chia-Lien Chiang, Nai-Wei Lin:
A Hybrid Multithreading/Message-Passing Approach for Solving Irregular Problems on SMP Clusters. PDPTA 1999: 1826-1832 - [c6]Min-Bin Chen, Tyng-Ruey Chuang, Jan-Jan Wu:
Experience in Parallelizing Mesh Generation Code with High Performance Fortran. PP 1999 - 1998
- [j2]Pangfeng Liu, Jan-Jan Wu:
Supporting Efficieent Tree Structures for Distributed Scientific Computation. J. Inf. Sci. Eng. 14(1): 79-105 (1998) - [c5]Chia-Lien Chiang, Jan-Jan Wu, Nai-Wei Lin:
Toward Supporting Data Parallel Programming on Clusters of Symmetric Multiprocessors. ICPADS 1998: 607-614 - [c4]Jan-Jan Wu, Pangfeng Liu:
Distributed Data Structure Design for Scientific Computation. International Conference on Supercomputing 1998: 227-234 - 1997
- [j1]Jan-Jan Wu, Marina C. Chen:
An Algebraic Machinery for Optimizing Data Motion for HPF. Sci. Program. 6(3): 297-325 (1997) - [c3]Pangfeng Liu, Jan-Jan Wu:
A Framework for Parallel Tree-Based Scientific Simulations. ICPP 1997: 137-144 - [c2]Jan-Jan Wu, Pangfeng Liu, Marina C. Chen, James R. Cowie:
VGDS: An Object-Oriented Framework for Distributed Scientific Computing. PDPTA 1997: 1006-1014
1980 – 1989
- 1987
- [c1]Ching-Chi Hsu, Shao-Ming Wu, Jan-Jan Wu:
A Distributed Approach for Inferring Production Systems. IJCAI 1987: 62-67
Coauthor Index
[c111] [c110] [c109] [c108] [j36] [j35] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [j34] [c96] [c95] [j30] [j29] [c93] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [j26] [c82] [c81] [c80] [j25] [c78] [j24] [j23] [c76] [c75] [c73] [c72] [c71] [c70] [j22] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [j21] [c58] [c57] [c56] [c55] [c54] [c53] [j20] [j19] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [j16] [j15] [c39] [c38] [c37] [j13] [c36] [c35] [j12] [j11] [c33] [c32] [c31] [c30] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c18] [j7] [c16] [j5] [c14] [c10] [c8] [j2] [c4] [c3] [c2]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
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last updated on 2024-09-07 00:59 CEST by the dblp team
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