Can traditional programming bridge the Ninja performance gap for parallel computing applications? von Satish, Nadathur, Kim, Changkyu, Chhugani, Jatin, Saito, Hideki, Krishnaiyer, Rakesh, Smelyanskiy, Mikhail, Girkar, Milind, Dubey, Pradeep

Volltext

Error Sensitivity to Environmental Noise in Quantum Circuits for Chemical State Preparation von Sawaya, Nicolas, Smelyanskiy, Mikhail, McClean, Jarrod, Aspuru-Guzik, Alán

Volltext

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale von Deng, Zhaoxia, Park, Jongsoo, Tang, Ping Tak Peter, Liu, Haixin, Yang, Jie, Yuen, Hector, Huang, Jianyu, Khudia, Daya, Wei, Xiaohan, Wen, Ellie, Choudhary, Dhruv, Krishnamoorthi, Raghuraman, Wu, Carole-Jean, Nadathur, Satish, Kim, Changkyu, Naumov, Maxim, Naghshineh, Sam, Smelyanskiy, Mikhail

Volltext

Performance optimizations for scalable implicit RANS calculations with SU2 von Economon, Thomas D., Mudigere, Dheevatsa, Bansal, Gaurav, Heinecke, Alexander, Palacios, Francisco, Park, Jongsoo, Smelyanskiy, Mikhail, Alonso, Juan J., Dubey, Pradeep

Volltext

Convergence of Recognition, Mining, and Synthesis Workloads and Its Implications von Chen, Yen-Kuang, Chhugani, Jatin, Dubey, Pradeep, Hughes, Christopher J., Kim, Daehyun, Kumar, Sanjeev, Lee, Victor W., Nguyen, Anthony D., Smelyanskiy, Mikhail

Volltext

An algorithm for the fast solution of symmetric linear complementarity problems von Morales, José Luis, Nocedal, Jorge, Smelyanskiy, Mikhail

Volltext

Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver von Park, Jongsoo, Smelyanskiy, Mikhail, Sundaram, Narayanan, Dubey, Pradeep

Volltext

Can traditional programming bridge the Ninja performance gap for parallel computing applications? von Satish, N., Kim, C., Chhugani, J., Saito, H., Krishnaiyer, R., Smelyanskiy, M., Girkar, M., Dubey, P.

Volltext

Improving the Performance of Dynamical Simulations Via Multiple Right-Hand Sides von Xing Liu, Chow, E., Vaidyanathan, K., Smelyanskiy, M.

Volltext

Efficient Backprojection-Based Synthetic Aperture Radar Computation with Many-Core Processors von Park, Jongsoo, Tang, Ping Tak Peter, Smelyanskiy, Mikhail, Kim, Daehyun, Benson, Thomas

Volltext

Design and Implementation of the Linpack Benchmark for Single and Multi-node Systems Based on Intel® Xeon Phi Coprocessor von Heinecke, Alexander, Vaidyanathan, Karthikeyan, Smelyanskiy, Mikhail, Kobotov, Alexander, Dubtsov, Roman, Henry, Greg, Shet, Aniruddha G., Chrysos, George, Dubey, Pradeep

Volltext

INSTRUCTION AND LOGIC FOR HARDWARE SUPPORT FOR EXECUTION OF CALCULATIONS von SMELYANSKIY MIKHAIL

Volltext bestellen

FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference von Khudia, Daya, Huang, Jianyu, Basu, Protonu, Deng, Summer, Liu, Haixin, Park, Jongsoo, Smelyanskiy, Mikhail

Volltext bestellen

Instruction and Logic for Indirect Accesses von Corbal Jesus, Smelyanskiy Mikhail

Volltext bestellen

Hardware apparatus and methods to prefetch a multidimensional block of elements from a multidimensional array von Lee, Victor, Heinecke, Alexander, Smelyanskiy, Mikhail

Volltext bestellen

Static memory allocation in neural networks von Rotem, Nadav, Park, Jong Soo, Abdulrasool, Saleem, Diril, Abdulkadir Utku, Smelyanskiy, Mikhail

Volltext bestellen

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale von Zhaoxia, Deng, Park, Jongsoo, Tang, Ping Tak Peter, Liu, Haixin, Jie, Yang, Yuen, Hector, Huang, Jianyu, Khudia, Daya, Wei, Xiaohan, Wen, Ellie, Choudhary, Dhruv, Krishnamoorthi, Raghuraman, Wu, Carole-Jean, Nadathur, Satish, Kim, Changkyu, Naumov, Maxim, Naghshineh, Sam, Smelyanskiy, Mikhail

Volltext bestellen

OPTIMIZED COMPUTE HARDWARE FOR MACHINE LEARNING OPERATIONS von CORBAL, JESUS, MUDIGERE, DHEEVATSA, HEINECKE, ALEXANDER F, MELLEMPUDI, NAVEEN K, DAS, DIPANKAR, GRAMUNT, ROGER, SMELYANSKIY, MIKHAIL

Volltext bestellen

Practical optimization for hybrid quantum-classical algorithms von Guerreschi, Gian Giacomo, Smelyanskiy, Mikhail

Volltext

Optimized compute hardware for machine learning operations von Heinecke, Alexander F, Gramunt, Roger, Das, Dipankar, Mudigere, Dheevatsa, Corbal, Jesus, Smelyanskiy, Mikhail, Mellempudi, Naveen K

Volltext bestellen