Publications

(2023). ×Grid: A Location-oriented Topology Design for LEO Satellites. LEO-NET’23: Proceedings of the 1st ACM Workshop on LEO Networking and Communication.

PDF DOI

(2023). Power Constrained Autotuning using Graph Neural Networks. 37th IEEE International Parallel and Distributed Processing Symposium (IPDPS’23).

PDF DOI

(2023). Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams. 37th IEEE International Parallel and Distributed Processing Symposium (IPDPS’23).

PDF DOI

(2022). Efficient, Out-of-memory Sparse MTTKRP on Massively Parallel Architectures. Proceedings of the 36th ACM International Conference on Supercomputing.

PDF DOI

(2021). Extended Abstract: Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures. The 25th Annual IEEE Conference on High Performance Extreme Computing (HPEC’21).

PDF DOI

(2021). ALTO: Adaptive Linearized Storage of Sparse Tensors. The 35th ACM International Conference on Supercomputing (ICS’21).

PDF DOI

(2021). High Performance Streaming Tensor Decomposition. 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS’21).

PDF DOI

(2018). On Optimizing Distributed Tucker Decomposition for Sparse Tensors. The 32nd ACM International Conference on Supercomputing (ICS’18).

PDF DOI

(2018). High-performance Dense Tucker Decomposition on GPU Clusters. The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’18).

PDF DOI

(2018). Blocking Optimization Techniques for Sparse Tensor Computation. 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS’18).

PDF DOI

(2017). On Optimizing Distributed Tucker Decomposition for Dense Tensors. 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS’17).

PDF DOI

(2017). Model-Driven Sparse CP Decomposition for High-Order Tensors. 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS’17).

PDF DOI

(2017). Data Analytics with NVLink: An SpMV Case Study. Proceedings of the Computing Frontiers Conference.

PDF DOI

(2016). Analyzing the Energy Efficiency of the Fast Multipole Method Using a DVFS-Aware Energy Model. 30th IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

PDF DOI

(2016). An Early Performance Study of Large-Scale POWER8 SMP Systems. 30th IEEE International Parallel and Distributed Processing Symposium (IPDPS’16).

PDF DOI

(2015). Power and performance modeling for high-performance computing algorithms.

PDF

(2014). Algorithmic time, energy, and power on candidate HPC compute building blocks. 28th IEEE International Parallel and Distributed Processing Symposium (IPDPS’14).

PDF DOI

(2014). A CPU:GPU hybrid implementation and model-driven scheduling of the fast multipole method. Proceedings of Workshop on General Purpose Processing Using GPUs.

PDF DOI

(2013). How much (execution) time and energy does my algorithm cost?. XRDS.

PDF DOI

(2013). A roofline model of energy. 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS’13).

PDF DOI

(2013). A brief history and introduction to GPGPU. Modern Accelerator Technologies for Geographic Information Science.

PDF DOI

(2012). A roofline model of energy.

PDF

(2012). Performance analysis and tuning for general purpose graphics processing units (GPGPU).

PDF DOI

(2012). Towards a communication optimal fast multipole method and its implications for exascale. Proc.~ACM Symp. Parallel Algorithms and Architectures (SPAA).

PDF DOI

(2012). Modeling and Analysis for Performance and Power. IEEE 26th International Parallel and Distributed Processing Symposium Workshops PhD Forum (IPDPSW).

PDF DOI

(2012). Courses in high-performance computing for scientists and engineers. IEEE 26th International Parallel and Distributed Processing Symposium Workshops and PhD Forum (IPDPSW).

PDF DOI

(2011). High-performance lattice QCD for multi-core based parallel systems using a cache-friendly hybrid threaded-MPI approach. High Performance Computing, Networking, Storage and Analysis (SC), 2011 International Conference for.

PDF DOI

(2011). Real-time adaptive background modeling for multicore embedded systems. Journal of Signal Processing Systems.

PDF DOI

(2010). Sparse matrix vector multiplication on multicore and accelerator systems. Scientific Computing with Multicore Processors and Accelerators.

PDF

(2010). On the limits of GPU acceleration. Proceedings of the 2nd USENIX inproceedings on Hot topics in parallelism.

PDF

(2010). Model-driven autotuning of sparse matrix-vector multiply on GPUs. 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP’11).

PDF DOI

(2008). Bypassing BigBackground: An efficient hybrid background modeling algorithm for embedded video surveillance. Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008 (ICDSC 2008).

PDF DOI

(2008). Edge noise removal in multimodal background modeling techniques. Electronic Imaging, 2008.

PDF DOI

(2004). Reducing communication through buffers on a SIMD architecture.

PDF