Primary tabs

A. Thune and X. Cai. Balancing the numerical and parallel performance for reservoir simulations In SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA., 2019.
C. Jarvis, G. T. Lines, J. Langguth, K. Nakajima and X. Cai. Combining algorithmic rethinking and AVX-512 intrinsics for efficient simulation of subcellular calcium signaling In International Conference on Computational Science (ICCS 2019). Springer, 2019.
J. D. Trotter, X. Cai, S. W. Funke and J. Langguth. Compiling finite element variational forms for GPU-based assembly In FEniCS‘19, Washington DC, USA., 2019.
X. Cai. Heterogeneous computing for cardiac electrophysiology In PREAPP workshop on Efficient Frameworks for Compute- and Data-intensive Computing (EFFECT), University of Tromsø, Norway., 2019.
J. Lagravière, J. Langguth, M. Prugger, L. Einkemmer, P. H. Ha and X. Cai. "Performance optimization and modeling of fine-grained irregular communication in UPC." Scientific Programming 2019 (2019): Article ID 6825728.
J. Langguth, H. Arevalo, K. G. Hustad and X. Cai. Towards Detailed Real-Time Simulations of Cardiac Arrhythmia In Computing in Cardiology. Vol. 46. IEEE, 2019.
J. Langguth, H. Arevalo, K. G. Hustad and X. Cai. Towards Detailed Real-Time Simulations of Cardiac Arrhythmia. International Conference in Computing in Cardiology, Singapore, 2019.
X. Cai. Unstructured computational meshes and data locality In Fifth Workshop on Programming Abstractions for Data Locality (PADAL'19), Inria Bordeaux, France., 2019.
X. Cai and J. Langguth. Accelerated high-performance computing for computational cardiac electrophysiology In The University of Tokyo, Tokyo, Japan., 2017.
G. Y. Paulsen, S. Clark, B. Nordmoen, S. Nenakhov, A. Andersson, X. Cai and H. P. Dahle. Automated Translation of MATLAB Code to C++ with Performance and Traceability In The Eleventh International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2017), Edited by C. Rückemann and D. Vucinic. International Academy, Research and Industry Association (IARIA), 2017.
J. Langguth, C. Jarvis and X. Cai. Porting Tissue-Scale Cardiac Simulations to the Knights Landing Platform In International Conference on High Performance Computing, Edited by J. Kunkel. Lecture Notes in Computer Science, Springer, 2017.
J. Langguth, Q. Lan, N. Gaur and X. Cai. "Accelerating Detailed Tissue-Scale 3D Cardiac Simulations Using Heterogeneous CPU-Xeon Phi Computing." International Journal of Parallel Programming (2016): 1-23.PDF icon ijpp-2016-2.pdf (2.66 MB)
J. Langguth, Q. Lan, N. Gaur, X. Cai and M. Wen. Enabling Tissue-Scale Cardiac Simulations Using Heterogeneous Computing on Tianhe-2 In IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), Edited by C. Zhang. ACM/IEEE, 2016.PDF icon langguth_etal_icpads2016.pdf (1.29 MB)
G. Y. Paulsen, J. Feinberg, X. Cai and B. Nordmoen. Matlab2cpp: A Matlab-to-C++ code translator In IEEE 2016 11th System of Systems Engineering Conference (SoSE), Edited by H. P. Dahle. IEEE, 2016.
M. Sourouri, S. Baden and X. Cai. "Panda: A Compiler Framework for Concurrent CPU+GPU Execution of 3D Stencil Computations on GPU-accelerated Supercomputers." International Journal of Parallel Programming (2016).PDF icon ijpp-2016-1.pdf (1.48 MB)
J. Lagravière, J. Langguth, M. Sourouri and X. Cai. On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures In High Performance Computing & Simulation (2016) - International Workshop on Optimization of Energy Efficient HPC & Distributed Systems, Edited by P. H. Ha. ACM IEEE, 2016.PDF icon camerareadyversion_v3.0.pdf (822.3 KB)
W. Zhang and X. Cai. "Solving 3D Time-Fractional Diffusion Equations by High-Performance Parallel Computing." Fractional Calculus and Applied Analysis 19, no. 1 (2016): 140-160.