All Stories

  1. Significant ASR Error Detection for Conversational Voice Assistants
  2. General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization
  3. ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale
  4. Quantum Algorithm Implementations for Beginners
  5. Improved Protein Decoy Selection via Non-Negative Matrix Factorization
  6. Hybrid, scalable, trace-driven performance modeling of GPGPUs
  7. Machine Learning–enabled Scalable Performance Prediction of Scientific Codes
  8. Decoy selection for protein structure prediction via extreme gradient boosting and ranking
  9. NVIDIA GPGPUs Instructions Energy Consumption
  10. Verified instruction-level energy consumption measurement for NVIDIA GPUs
  11. Distributed non-negative matrix factorization with determination of the number of latent features
  12. An Out of Memory tSVD for Big-Data Factorization
  13. Code Characterization With Graph Convolutions and Capsule Networks
  14. Unsupervised and Supervised Learning over the Energy Landscape for Protein Decoy Selection
  15. On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
  16. A Probabilistic Monte Carlo Framework for Branch Prediction
  17. AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes
  18. Performance Prediction of Physics Codes on CPUs
  19. Compute Node Models: Large-scale Amenable Block-Level Simulation for Memory Hierarchies and Pipelines
  20. Automatic lock-free parallel programming on multi-core processors
  21. On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms
  22. Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs
  23. Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution
  24. Automatic Evolution of Parallel Recursive Programs
  25. Automatic Evolution of Parallel Sorting Programs on Multi-cores
  26. Multi-core GE
  27. Predict the performance of GE with an ACO based machine learning algorithm
  28. Predict the success or failure of an evolutionary algorithm run
  29. On the efficiency of Multi-core Grammatical Evolution (MCGE) evolving multi-core parallel programs