Wu-chun Feng

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 73

Top Venues

Publications

Saikat Dey, Sonal Jha, Wu-chun Feng
G2A2: Graph Generator with Attributes and Anomalies. CF (2024)
Wu-chun Feng, Xuewen Cui, Thomas Scogland, Bronis R. de Supinski
BLP: Block-Level Pipelining for GPUs. CF (2024)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
SamBaS: Sampling-Based Stochastic Block Partitioning. IEEE Trans. Netw. Sci. Eng. 11 (3) (2024)
Sonal Jha, Wu-chun Feng
GRAPPEL: A Graph-based Approach for Early Risk Assessment of Acute Hypertension in Critical Care. BCB (2023)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
An Integrated Approach for Accelerating Stochastic Block Partitioning. HPEC (2023)
Atharva Gondhalekar, Wu-chun Feng
On the Three P's of Parallel Programming for Heterogeneous Computing: Performance, Productivity, and Portability. HPEC (2023)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
Exact Distributed Stochastic Block Partitioning. CoRR (2023)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
On the Parallelization of MCMC for Community Detection. ICPP (2022)
Karim Youssef, Abdullah Al Raqibul Islam, Keita Iwabuchi, Wu-chun Feng, Roger Pearce
Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures. HPEC (2022)
Karim Youssef, Niteya Shah, Maya B. Gokhale, Roger Pearce, Wu-chun Feng
AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace. HPEC (2022)
Saikat Dey, Sonal Jha, Wu-chun Feng
G2A2: An Automated Graph Generator with Attributes and Anomalies. CoRR (2022)
Atharva Gondhalekar, Thomas Twomey, Wu-chun Feng
On the Characterization of the Performance-Productivity Gap for FPGA. HPEC (2022)
Paul Sathre, Atharva Gondhalekar, Wu-chun Feng
Edge-Connected Jaccard Similarity for Graph Link Prediction on FPGA. HPEC (2022)
Garvit Goel, Jingyuan Qi, Wu-chun Feng, Guohua Cao
A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy. CoRR (2021)
Xuewen Cui, Wu-chun Feng
IterML: Iterative Machine Learning for Intelligent Parameter Pruning and Tuning in Graphics Processing Units. J. Signal Process. Syst. 93 (4) (2021)
Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng
Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. DRBSD@SC (2021)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
Topology-Guided Sampling for Fast and Accurate Community Detection. CoRR (2021)
Sajal Dash, Qais Al-Hajri, Wu-chun Feng, Harold R. Garner, Ramu Anandakrishnan
Scaling Out a Combinatorial Algorithm for Discovering Carcinogenic Gene Combinations to Thousands of GPUs. IPDPS (2021)
Sarunya Pumma, Daniele Buono, Fabio Checconi, Xinyu Que, Wu-chun Feng
Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning. CCGRID (2020)
Moeti Masiane, Anne Driscoll, Wu-chun Feng, John E. Wenskovitch, Chris North
Towards insight-driven sampling for big data visualisation. Behav. Inf. Technol. 39 (7) (2020)
Vignesh Adhinarayanan, Wu-chun Feng
Approximate Pattern Matching for On-Chip Interconnect Traffic Prediction. PACT (2020)
Karim Youssef, Wu-chun Feng
SparkLeBLAST: Scalable Parallelization of BLAST Sequence Alignment Using Spark. CCGRID (2020)
Gregory D. Abram, Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens
ETH: An Architecture for Exploring the Design Space of In-situ Scientific Visualization. IPDPS (2020)
Frank Wanye, Vitaliy Gleyzer, Wu-chun Feng
Fast Stochastic Block Partitioning via Sampling. HPEC (2019)
Xuewen Cui, Wu-chun Feng
Iterative machine learning (IterML) for effective parameter pruning and tuning in accelerators. CF (2019)
Paul Sathre, Mark K. Gardner, Wu-chun Feng
On the Portability of CPU-Accelerated Applications via Automated Source-to-Source Translation. HPC Asia (2019)
Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao
GPU-Based Iterative Medical CT Image Reconstructions. J. Signal Process. Syst. 91 (3-4) (2019)
Ahmed E. Helal, Ashwin M. Aji, Michael L. Chu, Bradford M. Beckmann, Wu-chun Feng
Adaptive Task Aggregation for High-Performance Sparse Solvers on GPUs. PACT (2019)
Mohamed W. Hassan, Scott Pakin, Wu-chun Feng
C to D-Wave: A High-level C Compilation Framework for Quantum Annealers. HPEC (2019)
Konstantinos Krommydas, Paul Sathre, Ruchira Sasanka, Wu-chun Feng
A Framework for Auto-Parallelization and Code Generation: An Integrative Case Study with Legacy FORTRAN Codes. ICPP (2018)
Vignesh Adhinarayanan, Bishwajit Dutta, Wu-chun Feng
Making a Case for Green High-Performance Visualization Via Embedded Graphics Processors. IPDPS Workshops (2018)
Paul Sathre, Ahmed E. Helal, Wu-chun Feng
A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation. ReConFig (2018)
Jing Zhang, Ashwin M. Aji, Michael L. Chu, Hao Wang, Wu-chun Feng
Taming irregular applications via advanced dynamic parallelism on GPUs. CF (2018)
Ahmed E. Helal, Changhee Jung, Wu-chun Feng, Yasser Y. Hanafy
CommAnalyzer: automated estimation of communication cost and scalability on HPC clusters from sequential code. HPDC (2018)
Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, Seyong Lee
Highly Efficient Compensation-Based Parallelism for Wavefront Loops on GPUs. IPDPS (2018)
Bishwajit Dutta, Vignesh Adhinarayanan, Wu-chun Feng
GPU power prediction via ensemble machine learning for DVFS space exploration. CF (2018)
Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng
A framework for fast and fair evaluation of automata processing hardware. IISWC (2017)
Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji
Parallel I/O Optimizations for Scalable Deep Learning. ICPADS (2017)
Kaixi Hou, Hao Wang, Wu-chun Feng
GPU-UniCache: Automatic Code Generation of Spatial Blocking for Stencils on CPUs. Conf. Computing Frontiers (2017)
Anshuman Verma, Huiyang Zhou, Skip Booth, Robbie King, James Coole, Andy Keep, John Marshall, Wu-chun Feng
Developing Dynamic Profiling and Debugging Support in OpenCL for FPGAs. DAC (2017)
Annette C. Feng, Mark K. Gardner, Wu-chun Feng
Parallel programming with pictures is a Snap! J. Parallel Distributed Comput. 105 (2017)
Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi
Demystifying automata processing: GPUs, FPGAs or Micron's AP? ICS (2017)
Sajal Dash, Anshuman Verma, Chris North, Wu-chun Feng
Portable Parallel Design of Weighted Multi-Dimensional Scaling for Real-Time Data Analysis. HPCC/SmartCity/DSS (2017)
Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng
Eliminating Irregularities of Protein Sequence Search on Multicore Architectures. IPDPS (2017)
Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens, Scott Pakin
Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization. IPDPS (2017)
Jing Zhang, Hao Wang, Wu-chun Feng
cuBLASTP: Fine-Grained Parallelization of Protein Sequence Search on CPU+GPU. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (4) (2017)
Kaixi Hou, Wu-chun Feng, Shuai Che
Auto-Tuning Strategies for Parallelizing Sparse Matrix-Vector (SpMV) Multiplication on Multi- and Many-Core Processors. IPDPS Workshops (2017)
Ahmed E. Helal, Wu-chun Feng, Changhee Jung, Yasser Y. Hanafy
AutoMatch: An automated framework for relative performance estimation and workload distribution on heterogeneous HPC systems. IISWC (2017)
Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao
An Enhanced Image Reconstruction Tool for Computed Tomography on CPUs. Conf. Computing Frontiers (2017)
Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji
Towards Scalable Deep Learning via I/O Analysis and Optimization. HPCC/SmartCity/DSS (2017)
Sarunya Pumma, Wu-chun Feng, Phond Phunchongharn, Sylvain Chapeland, Tiranee Achalakul
A runtime estimation framework for ALICE. Future Gener. Comput. Syst. 72 (2017)
Kaixi Hou, Weifeng Liu, Hao Wang, Wu-chun Feng
Fast segmented sort on GPUs. ICS (2017)
Xuewen Cui, Thomas R. W. Scogland, Bronis R. de Supinski, Wu-chun Feng
Directive-Based Partitioning and Pipelining for Graphics Processing Units. IPDPS (2017)
Hao Wang, Jing Zhang, Da Zhang, Sarunya Pumma, Wu-chun Feng
PaPar: A Parallel Data Partitioning Framework for Big Data Applications. IPDPS (2017)
Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng
Robotomata: A framework for approximate pattern matching of big data on an automata processor. IEEE BigData (2017)
Ashwin M. Aji, Antonio J. Peña, Pavan Balaji, Wu-chun Feng
MultiCL: Enabling automatic scheduling for task-parallel workloads in OpenCL. Parallel Comput. 58 (2016)
Vignesh Adhinarayanan, Indrani Paul, Joseph L. Greathouse, Wei Huang, Ashutosh Pattnaik, Wu-chun Feng
Measuring and modeling on-chip interconnect power on real hardware. IISWC (2016)
Vignesh Adhinarayanan, Balaji Subramaniam, Wu-chun Feng
Online Power Estimation of Graphics Processing Units. CCGrid (2016)
Annette C. Feng, Wu-chun Feng
Parallel Programming with Pictures in a Snap! IPDPS Workshops (2016)
Chung-Hsing Hsu, Wu-chun Feng
The Right Metric for Efficient Supercomputing: A Ten-Year Retrospective. IPDPS Workshops (2016)
Hao Wang, Weifeng Liu, Kaixi Hou, Wu-chun Feng
Parallel Transposition of Sparse Data Structures. ICS (2016)
Kaixi Hou, Hao Wang, Wu-chun Feng
AAlign: A SIMD Framework for Pairwise Sequence Alignment on x86-Based Multi-and Many-Core Processors. IPDPS (2016)
Konstantinos Krommydas, Ruchira Sasanka, Wu-chun Feng
Bridging the FPGA programmability-portability Gap via automatic OpenCL code generation and tuning. ASAP (2016)
Xiaokui Shu, Jing Zhang, Danfeng (Daphne) Yao, Wu-chun Feng
Fast Detection of Transformed Data Leaks. IEEE Trans. Inf. Forensics Secur. 11 (3) (2016)
Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao
cuART: Fine-Grained Algebraic Reconstruction Technique for Computed Tomography Images on GPUs. CCGrid (2016)
Konstantinos Krommydas, Wu-chun Feng, Christos D. Antonopoulos, Nikolaos Bellas
OpenDwarfs: Characterization of Dwarf-Based Benchmarks on Fixed and Reconfigurable Architectures. J. Signal Process. Syst. 85 (3) (2016)
Ramu Anandakrishnan, Mayank Daga, Alexey Onufriev, Wu-chun Feng
Multiscale Approximation with Graphical Processing Units for Multiplicative Speedup in Molecular Dynamics. BCB (2016)
Ahmed E. Helal, Paul Sathre, Wu-chun Feng
MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters. SC (2016)
Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng
muBLASTP: database-indexed protein sequence search on multicore CPUs. BMC Bioinform. 17 (2016)
Konstantinos Krommydas, Ahmed E. Helal, Anshuman Verma, Wu-chun Feng
Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs. FCCM (2016)
Vignesh Adhinarayanan, Wu-chun Feng
An automated framework for characterizing and subsetting GPGPU workloads. ISPASS (2016)
Ashwin M. Aji, Lokendra S. Panwar, Feng Ji, Karthik Murthy, Milind Chabbi, Pavan Balaji, Keith R. Bisset, James Dinan, Wu-chun Feng, John M. Mellor-Crummey, Xiaosong Ma, Rajeev Thakur
MPI-ACC: Accelerator-Aware MPI for Scientific Applications. IEEE Trans. Parallel Distributed Syst. 27 (5) (2016)
Xiaodong Yu, Wu-chun Feng, Danfeng (Daphne) Yao, Michela Becchi
O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection. ANCS (2016)
Juan Antonio Gómez Pulido, Bertil Schmidt, Wu-chun Feng
Accelerating Bioinformatics Applications via Emerging Parallel Computing Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (5) (2015)
Konstantinos Krommydas, Ruchira Sasanka, Wu-chun Feng
GLAF: A Visual Programming and Auto-tuning Framework for Parallel Computing. ICPP (2015)
Rubasri Kalidas, Mayank Daga, Konstantinos Krommydas, Wu-chun Feng
On the Performance, Energy, and Power of Data-Access Methods in Heterogeneous Computing Systems. IPDPS Workshops (2015)
Xiaokui Shu, Jing Zhang, Danfeng Yao, Wu-chun Feng
Rapid Screening of Transformed Data Leaks with Efficient Algorithms and Parallel Computing. CODASPY (2015)
Kaixi Hou, Hao Wang, Wu-chun Feng
ASPaS: A Framework for Automatic SIMDization of Parallel Sorting on x86-based Many-core Processors. ICS (2015)
Da Zhang, Hao Wang, Kaixi Hou, Jing Zhang, Wu-chun Feng
pDindel: Accelerating indel detection on a multicore CPU architecture with SIMD. ICCABS (2015)
Wu-chun Feng, Barry Rountree
HPPAC Introduction and Committees. IPDPS Workshops (2015)
Thomas R. W. Scogland, Wu-chun Feng
Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures. ICPE (2015)
Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree, Bronis R. de Supinski
CoreTSAR: Core Task-Size Adapting Runtime. IEEE Trans. Parallel Distributed Syst. 26 (11) (2015)
Vignesh Adhinarayanan, Wu-chun Feng, Jonathan Woodring, David H. Rogers, James P. Ahrens
On the Greenness of In-Situ and Post-Processing Visualization Pipelines. IPDPS Workshops (2015)
Xiaokui Shu, Jing Zhang, Danfeng Yao, Wu-chun Feng
Rapid and parallel content screening for detecting transformed data exposure. INFOCOM Workshops (2015)
Balaji Subramaniam, Wu-chun Feng
On the Energy Proportionality of Scale-Out Workloads. CoRR (2015)
Ashwin Mandayam Aji, Antonio J. Peña, Pavan Balaji, Wu-chun Feng
Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL. CLUSTER (2015)
Balaji Subramaniam, Wu-chun Feng
Towards Energy-Proportional Computing Using Subsystem-Level Power Management. CoRR (2015)
James E. McClure, Hao Wang, Jan F. Prins, Cass T. Miller, Wu-chun Feng
Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems. IPDPS (2014)
Kaixi Hou, Hao Wang, Wu-chun Feng
Delivering Parallel Programmability to the Masses via the Intel MIC Ecosystem: A Case Study. ICPP Workshops (2014)
Konstantinos Krommydas, Wu-chun Feng, Muhsen Owaida, Christos D. Antonopoulos, Nikolaos Bellas
On the characterization of OpenCL dwarfs on fixed and reconfigurable platforms. ASAP (2014)
Balaji Subramaniam, Wu-chun Feng
Enabling Efficient Power Provisioning for Enterprise Applications. CCGRID (2014)
Jiangling Yin, Jun Wang, Wu-chun Feng, Xuhong Zhang, Junyao Zhang
SLAM: scalable locality-aware middleware for I/O in scientific analysis and visualization. HPDC (2014)
Nataliya Timoshevskaya, Wu-chun Feng
SAIS-OPT: On the characterization and optimization of the SA-IS algorithm for suffix array construction. ICCABS (2014)
Jiangling Yin, Junyao Zhang, Jun Wang, Wu-chun Feng
SDAFT: A novel scalable data access framework for parallel BLAST. Parallel Comput. 40 (10) (2014)
Vignesh Adhinarayanan, Thaddeus Koehn, Krzysztof Kepa, Wu-chun Feng, Peter Athanas
On the performance and energy efficiency of FPGAs and GPUs for polyphase channelization. ReConFig (2014)
Thomas R. W. Scogland, Wu-chun Feng
Runtime Adaptation for Autonomic Heterogeneous Computing. CCGRID (2014)
Balaji Subramaniam, Wu-chun Feng
On the Energy Proportionality of Distributed NoSQL Data Stores. PMBS@SC (2014)
Carlo C. del Mundo, Wu-chun Feng
Towards a performance-portable FFT library for heterogeneous computing. Conf. Computing Frontiers (2014)
Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree, Bronis R. de Supinski
CoreTSAR: Adaptive Worksharing for Heterogeneous Systems. ISC (2014)
Jing Zhang, Hao Wang, Heshan Lin, Wu-chun Feng
cuBLASTP: Fine-Grained Parallelization of Protein Sequence Search on a GPU. IPDPS (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wu-chun Feng