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ORCIDValerie Taylor 0001
Valerie E. Taylor
Person information
- affiliation: Argonne National Laboratory, Lemont, IL, USA
- affiliation: Texas A&M University, Computer Science and Engineering Department, College Station, Texas, USA
- affiliation: Northwestern University (NU), Electrical Engineering and Computer Science Department, Evanston, IL, USA
- affiliation (PhD 1991): University of California, Berkeley, CA, USA
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2020 – today
- 2024
[c60]Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor:
LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CLUSTER Workshops 2024: 136-143- [i10]Xingfu Wu
, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR abs/2402.09222 (2024) - [i9]Xingfu Wu, Tupendra Oli, ustin H. Qian, Valerie Taylor, Mark C. Hersam, Vinod K. Sangwan:
An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors. CoRR abs/2406.18445 (2024) - [i8]Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor:
LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CoRR abs/2407.01638 (2024) - 2023
- [j39]Xingfu Wu, Valerie Taylor:
Utilizing ensemble learning for performance and power modeling and improvement of parallel cancer deep learning CANDLE benchmarks. Concurr. Comput. Pract. Exp. 35(15) (2023) - [j38]Xingfu Wu, Valerie Taylor, Zhiling Lan:
Performance and power modeling and prediction using MuMMI and 10 machine learning methods. Concurr. Comput. Pract. Exp. 35(15) (2023) - [c59]Xingfu Wu, Praveen Paramasivam, Valerie Taylor:
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. SC Workshops 2023: 29-35 - [i7]Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall:
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. CoRR abs/2303.16245 (2023) - [i6]Xingfu Wu, Praveen Paramasivam, Valerie Taylor:
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. CoRR abs/2309.07235 (2023) - 2022
- [j37]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization. Concurr. Comput. Pract. Exp. 34(20) (2022) - [j36]Charlie Catlett, Pete Beckman, Nicola J. Ferrier, Michael E. Papka, Rajesh Sankaran, Jeff Solin, Valerie Taylor, Douglas Pancoast, Daniel A. Reed:
Hands-On Computer Science: The Array of Things Experimental Urban Instrument. Comput. Sci. Eng. 24(1): 57-63 (2022) - 2021
- [c58]Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor:
A Dynamic Power Capping Library for HPC Applications. CLUSTER 2021: 797-798 - [c57]Xingfu Wu, Valerie Taylor, Zhiling Lan:
Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. MCHPC@SC 2021: 17-24 - [c56]Valerie E. Taylor:
Increasing Diversity in Computing Education: Lesson Learned. SIGCSE 2021: 1238-1239 - [i5]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). CoRR abs/2104.13242 (2021) - 2020
- [c55]Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra:
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CLUSTER 2020: 473-483 - [c54]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. PMBS@SC 2020: 61-70 - [c53]Valerie E. Taylor:
Increasing Diversity in Computing: A Focus on Retention. SIGCSE 2020: 964 - [i4]Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra:
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CoRR abs/2008.06571 (2020) - [i3]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. CoRR abs/2010.08040 (2020) - [i2]Xingfu Wu, Valerie Taylor:
Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. CoRR abs/2011.06654 (2020) - [i1]Xingfu Wu, Valerie Taylor, Zhiling Lan:
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. CoRR abs/2011.06655 (2020)
2010 – 2019
- 2019
- [j35]Jerri Barrett, Valerie E. Taylor:
The ACM Richard Tapia Celebration of Diversity in Computing Conferences, Presented by CMD-IT. Comput. Sci. Eng. 21(4): 88-92 (2019) - [c52]Xingfu Wu, Valerie E. Taylor, Justin M. Wozniak, Rick Stevens, Thomas S. Brettin, Fangfang Xia:
Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. ICPP 2019: 78:1-78:11 - [c51]Tracy Camp, Wendy M. DuBow, Diane Levitt, Linda J. Sax, Valerie Taylor, Colleen M. Lewis:
The New NSF Requirement for Broadening Participation in Computing (BPC) Plans: Community Advice and Resources. SIGCSE 2019: 332-333 - 2018
- [j34]Telle Whitney, Valerie Taylor:
Increasing Women and Underrepresented Minorities in Computing: The Landscape and What You Can Do. Computer 51(10): 24-31 (2018) - 2017
- [c50]Xingfu Wu, Valerie E. Taylor, Jeanine E. Cook, Tanner Juedeman:
Performance and Power Characteristics and Optimizations of Hybrid MPI/OpenMP LULESH Miniapps under Various Workloads. E2SC@SC 2017: 4:1-4:8 - 2016
- [j33]Xingfu Wu, Valerie E. Taylor, Jeanine E. Cook, Philip J. Mucci:
Using Performance-Power Modeling to Improve Energy Efficiency of HPC Applications. Computer 49(10): 20-29 (2016) - [j32]Valerie E. Taylor:
Center for Minorities and People with Disabilities in Information Technology (CMD-IT). Inroads 7(4): 91-94 (2016) - [c49]Xingfu Wu, Valerie E. Taylor:
Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-Aware Supercomputers. IPDPS Workshops 2016: 1180-1189 - 2015
- [c48]Andrea M. Ogilvie, David B. Knight, Arturo A. Fuentes, Maura Borrego, Patricia A. Nava, Valerie E. Taylor:
Transfer student pathways to engineering degrees: A multi-institutional study based in Texas. FIE 2015: 1-5 - [c47]Xingfu Wu, Valerie E. Taylor:
Power and performance characteristics of CORAL Scalable Science Benchmarks on BlueGene/Q Mira. IGSC 2015: 1-6 - 2014
- [j31]Charles W. Lively, Valerie E. Taylor, Xingfu Wu, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron, Shirley Moore, Daniel Terpstra:
E-AMOM: an energy-aware modeling and optimization methodology for scientific applications. Comput. Sci. Res. Dev. 29(3-4): 197-210 (2014) - [c46]Jiayuan Meng, Xingfu Wu, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran, Valerie E. Taylor:
SKOPE: a framework for modeling and exploring workload behavior. Conf. Computing Frontiers 2014: 6:1-6:10 - [c45]Xingfu Wu, Guangtai Ding, Valerie E. Taylor:
Parallel Optical Flow Processing of 4D Cardiac CT Data on Multicore Clusters. CSE 2014: 113-120 - 2013
- [j30]Xingfu Wu, Valerie E. Taylor:
Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Largescale Multithreaded BlueGene/Q Supercomputer. Int. J. Networked Distributed Comput. 1(4): 213-225 (2013) - [j29]Xingfu Wu, Valerie E. Taylor:
Performance modeling of hybrid MPI/OpenMP scientific applications on large-scale multicore supercomputers. J. Comput. Syst. Sci. 79(8): 1256-1268 (2013) - [c44]Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Hung-Ching Chang, Bo Li, Kirk W. Cameron, Daniel Terpstra, Shirley Moore:
MuMMI: Multiple Metrics Modeling Infrastructure. Parallel Tools Workshop 2013: 53-65 - [c43]Xingfu Wu, Charles W. Lively, Valerie E. Taylor, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron, Shirley Moore, Daniel Terpstra, Vincent M. Weaver:
MuMMI: Multiple Metrics Modeling Infrastructure. SNPD 2013 - [c42]Xingfu Wu, Valerie E. Taylor:
Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Large-Scale Multithreaded BlueGene/Q Supercomputer. SNPD 2013: 303-309 - [c41]Xingfu Wu, Hung-Ching Chang, Shirley Moore, Valerie E. Taylor, Chun-Yi Su, Daniel Terpstra, Charles W. Lively, Kirk W. Cameron, Chee Wai Lee:
MuMMI: multiple metrics modeling infrastructure for exploring performance and power modeling. XSEDE 2013: 36:1-36:8 - 2012
- [j28]Xingfu Wu, Valerie E. Taylor:
Performance Characteristics of Hybrid MPI/OpenMP Implementations of NAS Parallel Benchmarks SP and BT on Large-Scale Multicore Clusters. Comput. J. 55(2): 154-167 (2012) - [j27]Charles W. Lively, Xingfu Wu, Valerie E. Taylor, Shirley Moore, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron:
Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems. Comput. Sci. Res. Dev. 27(4): 245-253 (2012) - [c40]Sameh Sharkawi, Don DeSota, Raj Panda, Stephen Stevens, Valerie E. Taylor, Xingfu Wu:
SWAPP: A Framework for Performance Projections of HPC Applications Using Benchmarks. IPDPS Workshops 2012: 1722-1731 - 2011
- [j26]Valerie E. Taylor, Richard E. Ladner:
Data trends on minorities and people with disabilities in computing. Commun. ACM 54(12): 34-37 (2011) - [j25]Charles W. Lively, Xingfu Wu, Valerie E. Taylor, Shirley Moore, Hung-Ching Chang, Kirk W. Cameron:
Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems. Int. J. High Perform. Comput. Appl. 25(3): 342-350 (2011) - [j24]Xingfu Wu, Valerie E. Taylor:
Performance characteristics of hybrid MPI/OpenMP implementations of NAS parallel benchmarks SP and BT on large-scale multicore supercomputers. SIGMETRICS Perform. Evaluation Rev. 38(4): 56-62 (2011) - [c39]Xingfu Wu, Valerie E. Taylor:
Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems. CSE 2011: 181-190 - 2010
- [j23]Valerie E. Taylor:
Cultivating cultural diversity in information technology. Commun. ACM 53(7): 35-36 (2010)
2000 – 2009
- 2009
- [j22]Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Sameh Sharkawi:
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Clusters. Scalable Comput. Pract. Exp. 10(1) (2009) - [c38]Xingfu Wu, Benchun Duan, Valerie E. Taylor:
An OpenMP Approach to Modeling Dynamic Earthquake Rupture Along Geometrically Complex Faults on CMP Systems. ICPP Workshops 2009: 146-153 - [c37]Sameh Sharkawi, Don DeSota, Raj Panda, Rajeev Indukuru, Stephen Stevens, Valerie E. Taylor, Xingfu Wu:
Performance projection of HPC applications using SPEC CFP2006 benchmarks. IPDPS 2009: 1-12 - 2008
- [c36]Xingfu Wu, Valerie E. Taylor:
Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid. CW 2008: 447-454 - [c35]Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Sameh Sharkawi:
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Cluster Systems. ICPP Workshops 2008: 188-195 - [c34]Charles W. Lively, Valerie E. Taylor, Sadaf R. Alam, Jeffrey S. Vetter:
A Methodology for Developing High Fidelity Communication Models for Large-Scale Applications Targeted on Multicore Systems. SBAC-PAD 2008: 55-62 - 2006
- [j21]Zhiling Lan, Valerie E. Taylor, Yawei Li:
DistDLB: Improving cosmology SAMR simulations on distributed computing systems through hierarchical load balancing. J. Parallel Distributed Comput. 66(5): 716-731 (2006) - [c33]Xingfu Wu, Valerie E. Taylor, Shane Garrick, Dazhi Yu, Jacques Richard:
Performance Analysis, Modeling and Prediction of a Parallel Multiblock Lattice Boltzmann Application Using Prophesy System. CLUSTER 2006 - [c32]Debayan Bhaduri, Sandeep K. Shukla, Deji Coker, Valerie E. Taylor, Paul S. Graham, Maya B. Gokhale:
A hybrid framework for design and analysis of fault-tolerant architectures. DATE 2006: 335-336 - [p1]James D. Teresco, Joseph E. Flaherty, Scott B. Baden, Jamal Faik, Sébastien Lacour, Manish Parashar, Valerie E. Taylor, Carlos A. Varela, Xingfu Wu, Rick Stevens, Nicholas T. Karonis, Ian T. Foster, Luis G. Gervasio, Travis Desell, Kaoutar El Maghraoui:
Approaches to Architecture-Aware Parallel Scientific Computation. Parallel Processing for Scientific Computing 2006: 33-58 - 2005
- [c31]Seung-Hye Jang, Valerie E. Taylor, Xingfu Wu, Mieke Prajugo, Ewa Deelman, Gaurang Mehta, Karan Vahi:
Performance Prediction-based versus Load-based Site Selection: Quantifying the Difference. PDCS 2005: 148-153 - 2004
- [j20]Warren Smith, Ian T. Foster, Valerie E. Taylor:
Predicting application run times with historical information. J. Parallel Distributed Comput. 64(9): 1007-1016 (2004) - 2003
- [j19]Valerie E. Taylor, Rick L. Stevens:
Introduction: Performance Analysis and Modeling. Clust. Comput. 6(4): 285 (2003) - [j18]Zhiling Lan, Valerie E. Taylor, Greg Bryan:
Exploring cosmology applications on distributed environments. Future Gener. Comput. Syst. 19(6): 839-847 (2003) - [j17]Valerie E. Taylor, Xingfu Wu, Rick L. Stevens:
Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications. SIGMETRICS Perform. Evaluation Rev. 30(4): 13-18 (2003) - [c30]Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Rick L. Stevens:
Using Kernel Coupling to Improve the Performance of Multithreaded Applications. PDCS 2003: 361-368 - 2002
- [j16]Jonathan Geisler, Valerie E. Taylor:
Performance Coupling: Case Studies for Improving the Performance of Scientific Applications. J. Parallel Distributed Comput. 62(8): 1227-1247 (2002) - [j15]Zhiling Lan, Valerie E. Taylor, Greg Bryan:
A novel dynamic load balancing scheme for parallel systems. J. Parallel Distributed Comput. 62(12): 1763-1781 (2002) - [j14]Valerie E. Taylor:
Women of color in computing. ACM SIGCSE Bull. 34(2): 22-23 (2002) - [j13]Zhiling Lan, Valerie E. Taylor, Greg Bryan:
Dynamic load balancing of SAMR applications on distributed systems. Sci. Program. 10(4): 319-328 (2002) - [j12]Jian Chen, Valerie E. Taylor:
Mesh Partitioning for Efficient Use of Distributed Systems. IEEE Trans. Parallel Distributed Syst. 13(1): 67-79 (2002) - [c29]Jianwei Li, Wei-keng Liao, Alok N. Choudhary, Valerie E. Taylor:
I/O Analysis and Optimization for an AMR Cosmology Application. CLUSTER 2002: 119-126 - [c28]Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Rick L. Stevens:
Using Kernel Couplings to Predict Parallel Application Performance. HPDC 2002: 125-134 - 2001
- [j11]Valerie E. Taylor, Eric J. Schwabe, Bruce K. Holmer, Michelle R. Hribar:
Balancing Load versus Decreasing Communication: Parameterizing the Tradeoff. J. Parallel Distributed Comput. 61(5): 567-580 (2001) - [j10]Michelle R. Hribar, Valerie E. Taylor, David E. Boyce:
Implementing parallel shortest path for parallel transportation applications. Parallel Comput. 27(12): 1537-1568 (2001) - [c27]Xin Li, Valerie E. Taylor:
System Buffer Size Requirements: An Application's Perspective. PDCS 2001: 225-232 - [c26]Zhiling Lan, Valerie E. Taylor, Greg Bryan:
Dynamic Load Balancing for Structured Adaptive Mesh Refinement Applications. ICPP 2001: 571-579 - [c25]Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick L. Stevens:
Prophesy: Automating the Modeling Process. Active Middleware Services 2001: 3-11 - [c24]Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson:
Design and Development of the Prophesy Performance Database for Distributed Scientific Applications. PP 2001 - [c23]Zhiling Lan, Valerie E. Taylor, Greg Bryan:
Dynamic load balancing of SAMR applications on distributed systems. SC 2001: 36 - 2000
- [j9]Alok N. Choudhary, Mahmut T. Kandemir, Jaechun No, Gokhan Memik, Xiaohui Shen, Wei-keng Liao, Harsha S. Nagesh, Sachin More, Valerie E. Taylor, Rajeev Thakur, Rick L. Stevens:
Data management for large-scale scientific computations in high performance distributed systems. Clust. Comput. 3(1): 45-60 (2000) - [j8]Jian Chen, Valerie E. Taylor:
ParaPART: Parallel Mesh Partitioning Tool for Distributed Systems. Concurr. Pract. Exp. 12(2-3): 111-123 (2000) - [c22]Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson:
Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications. HPDC 2000: 302-303 - [c21]Warren Smith, Ian T. Foster, Valerie E. Taylor:
Scheduling with Advanced Reservations. IPDPS 2000: 127-132 - [c20]Gokhan Memik, Mahmut T. Kandemir, Alok N. Choudhary, Valerie E. Taylor:
APRIL: A Run-Time Library for Tape-Resident Data. IEEE Symposium on Mass Storage Systems 2000: 61-74 - [c19]Renato J. O. Figueiredo, José A. B. Fortes, Rudolf Eigenmann, Nirav H. Kapadia, Sumalatha Adabala, José Miguel-Alonso, Valerie E. Taylor, Miron Livny, Luis Vidal, Jan-Jo Chen:
A network-computing infrastructure for tool experimentation applied to computer architecture education. WCAE 2000: 18
1990 – 1999
- 1999
- [j7]Valerie E. Taylor:
Guest Editor's Introduction. J. VLSI Signal Process. 21(2): 75 (1999) - [c18]Alok N. Choudhary, Mahmut T. Kandemir, Harsha S. Nagesh, Jaechun No, Xiaohui Shen, Valerie E. Taylor, Sachin More, Rajeev Thakur:
Data Management for Large-Scale Scientific Computations in High Performance Distributed Systems. HPDC 1999: 263-272 - [c17]Warren Smith, Valerie E. Taylor, Ian T. Foster:
Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance. JSSPP 1999: 202-219 - [c16]Jian Chen, Valerie E. Taylor:
ParaPART: Parallel Mesh Partitioning Tool for Distributed Systems. IPPS/SPDP Workshops 1999: 996-1005 - [c15]Jian Chen, Valerie E. Taylor:
Mesh Partitioning for Distributed Systems: Exploring Optimal Number of Partitions with Local and Remote Communication. PP 1999 - [c14]Jonathan Geisler, Valerie E. Taylor:
Performance Coupling: A Methodology for Predicting Application Performance Using Kernel Performance. PP 1999 - 1998
- [j6]Michelle R. Hribar, Valerie E. Taylor, David E. Boyce:
Termination Detection for Parallel Shortest Path Algorithms. J. Parallel Distributed Comput. 55(2): 153-165 (1998) - [j5]Keshab K. Parhi, Valerie E. Taylor:
Guest Editors' Introduction. J. VLSI Signal Process. 19(2): 83 (1998) - [c13]Zina Ben-Miled, José A. B. Fortes, Rudolf Eigenmann, Valerie E. Taylor:
On the Implementation of Broadcast, Scatter and Gather in a Heterogeneous Architecture. HICSS (3) 1998: 216-225 - [c12]Jian Chen, Valerie E. Taylor:
Mesh Partitioning for Distributed Systems. HPDC 1998: 292-300 - [c11]Warren Smith, Ian T. Foster, Valerie E. Taylor:
Predicting Application Run Times Using Historical Information. JSSPP 1998: 122-142 - 1997
- [j4]Valerie E. Taylor, Rick L. Stevens, Kathryn E. Arnold:
Parallel Molecular Dynamics: Implications for Massively Parallel Machines. J. Parallel Distributed Comput. 45(2): 166-175 (1997) - [c10]Zina Ben-Miled, José A. B. Fortes, Rudolf Eigenmann, Valerie E. Taylor:
Towards the Design of a Heterogeneous Hierarchical Machine: A Simulation Approach. Annual Simulation Symposium 1997: 126-136 - [c9]Jian Chen, Valerie E. Taylor:
PART: a partitioning tool for efficient use of distributed systems. ASAP 1997: 328-337 - [c8]Meenakshi A. Kandaswamy, Valerie E. Taylor, Rudolf Eigenmann, José A. B. Fortes:
Implicit Finite Element Applications: A Case for Matching the Number of Processors to the Dynamics of the Program Execution. PP 1997 - 1996
- [j3]Valerie E. Taylor, Jian Chen, Milana Huang, Thomas Canfield, Rick L. Stevens:
Identifying and reducing critical lag in finite element simulations. IEEE Computer Graphics and Applications 16(4): 67-71 (1996) - [j2]Valerie E. Taylor, Milana Huang, Thomas Canfield, Rick Stevens, Daniel A. Reed, Stephen E. Lamm:
Performance Modeling of Interactive, Immersive Virtual Environments for Finite Element Simulations. Int. J. High Perform. Comput. Appl. 10(2-3): 145-156 (1996) - [c7]Valerie E. Taylor, Jian Chen, Thomas Canfield, Rick L. Stevens:
A Decomposition Method For Efficient Use Of Distributed Supercomputers For Finite Element Applications. ASAP 1996: 12-24 - [c6]Valerie E. Taylor, Bruce K. Holmer, Eric J. Schwabe, Michelle R. Hribar:
Balancing Load versus Decreasing Communication: Exploring the Tradeoffs. HICSS (1) 1996: 585-593 - [c5]Jian Chen, Maurice Rabb, Valerie E. Taylor:
Bridge: A Retargetable Extensive Profiling Tool. MASCOTS 1996: 44-50 - 1995
- [j1]Valerie E. Taylor, Abhiram G. Ranade, David G. Messerschmitt:
SPAR: A New Architecture for Large Finite Element Computations. IEEE Trans. Computers 44(4): 531-545 (1995) - 1994
- [c4]Michelle R. Hribar, Valerie E. Taylor:
Practical Isuues of 2-D Parallel Finite Element Analysis. ICPP (3) 1994: 64-68 - 1992
- [c3]Valerie E. Taylor, Bahram Nour-Omid, David G. Messerschmitt:
The Effects of Communication Overhead on the Speedup of Parallel 3-D Finite Element Applications. IPPS 1992: 531-536 - [c2]Valerie E. Taylor:
Sparse Matrix Computations: Implications for Cache Designs. SC 1992: 598-607 - 1991
- [c1]Valerie E. Taylor, Abhiram G. Ranade, David G. Messerschmitt:
Three-dimensional finite-element analyses: implications for computer architectures. SC 1991: 786-795
Coauthor Index
Rick L. Stevens
aka: Rick Stevens
aka: Rick Stevens
[c60] [i10] [i9] [i8] [j39] [j38] [c59] [i7] [i6] [j37] [c58] [c57] [i5] [c55] [c54] [i4] [i3] [i2] [i1] [c52] [c50] [j33] [c49] [c47] [j31] [c46] [c45] [j30] [j29] [c44] [c43] [c42] [c41] [j28] [j27] [c40] [j25] [j24] [c39] [j22] [c38] [c37] [c36] [c35] [c33] [p1] [c31] [j17] [c30] [c28] [c25] [c24] [c22]
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