- ESCAPE: Experimental Study on Computer Architecture and Performance Evaluation
- Journal of Instruction-Level Parallelism 7 (2005) 1-11 Submitted 01/05; published 04/05 Idealized Piecewise Linear Branch Prediction
- Exploiting Procedure Level Locality to Reduce Instruction Cache Misses Ravi V. Batchu Daniel A. Jimenez
- Neural Methods for Dynamic Branch Prediction Daniel A. Jimenez Calvin Lin
- Int J Parallel Prog (2008) 36:267286 DOI 10.1007/s10766-007-0063-0
- Appears in the Proceedings of the 36 th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO36) Fast PathBased Neural Branch Prediction
- Idealized Piecewise Linear Branch Prediction Daniel A. Jimenez
- Using Dead Blocks as a Virtual Victim Cache Samira Khan
- Appears in the Proceedings of the 9 International Symposium on High Performance Computer Architecture
- Appears in the Proceedings of the 9 th International Symposium on High Performance Computer Architecture Reconsidering Complex Branch Predictors
- IMPLEMENTATION OF PRECISE INTERRUPTS IN PIPELINED PROCESSORS Dtpanmtnr 01 Elt~r~~l awi Compurrr Enginttring
- Piecewise Linear Branch Prediction Daniel A. Jimenez
- Daniel Angel Jimenez The Dissertation Committee for Daniel Angel Jimenez
- Reducing the Power and Complexity of Path-Based Neural Branch Gabriel H. Loh Daniel A. Jimenez
- DelaySensitive Branch Predictors for Future Technologies Daniel A. Jimenez, B.S., M.S.
- Appears in Proceedings of the 2001 International Conference on Parallel Architectures and Compilation Technologies Boolean Formula-based Branch Prediction for Future Technologies
- Code Placement for Improving Dynamic Branch Prediction Daniel A. Jimenez
- Sampling Dead Block Prediction for Last-Level Caches
- CS 3853 Fall 2009 Midterm Exam Mark your answer for each question on the SCAN-TRON
- Insertion Policy Selection Using Decision Tree Analysis Samira Khan, Daniel A. Jimenez
- Composite Confidence Estimators for Enhanced Speculation Control Daniel A. Jimnez
- A Flexible Heterogeneous Multi-Core Architecture Miquel Peric`as
- Controlling the Power and Area of Neural Branch Predictors for Practical Implementation in High-Performance Processors
- A Decoupled KILOInstruction Processor Miquel Peric`as
- Chained In-Order/Out-of-Order DoubleCore Architecture Miquel Peric`as
- MIXED-SIGNAL APPROXIMATE COMPUTATION: A NEURAL
- Generalizing Neural Branch Prediction DANIEL A. JIM ENEZ
- Exploiting Execution Locality with a Decoupled Kilo-Instruction Processor
- Improved Latency and Accuracy for Neural Branch Prediction
- Neural Methods for Dynamic Branch Prediction
- Insertion Policy Selection Using Decision Tree Analysis Samira Khan, Daniel A. Jimenez
- Combining Hyperblocks and Exit Prediction to Increase Front-End Bandwidth and Performance
- Delay-Sensitive Branch Predictors for Future Technologies Daniel A. Jimenez, B.S., M.S.
- Neural Methods for Dynamic Branch Prediction Daniel A. Jimenez Calvin Lin
- Dynamically Weighted Ensemble Neural Networks for Classification Daniel Jimenez (djimenez@bluebonnet.uthscsa.edu)
- Locating Anatomical Landmarks for Prosthetics Design using Ensemble Neural Networks
- D E C E M B E R 1 9 9 0 Technical Note TN-15
- Piecewise Linear Branch Prediction Daniel A. Jimenez
- Perceptron Learning for Predicting the Behavior of Conditional Branches Daniel A. Jimenez Calvin Lin
- CS 3853 Fall 2009 Second Exam Write your answers on this question paper. Your answers must be clear and
- Exploiting Procedure Level Locality to Reduce Instruction Cache Misses Ravi V. Batchu Daniel A. Jimenez
- HPCA-17 Call for Papers International Symposium on
- Appears in Proceedings of the Seventh International Symposium on High Performance Computer Architecture Dynamic Branch Prediction with Perceptrons
- Daniel Angel Jimenez The Dissertation Committee for Daniel Angel Jimenez
- Dead Block Replacement and Bypass with a Sampling Predictor Daniel A. Jimenez
- Exploiting Procedure Level Locality to Reduce Instruction Cache Misses Ravi V. Batchu Daniel A. Jimenez
- Appears in the Proceedings of the 36 Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-36)
- Composite Confidence Estimators for Enhanced Speculation Control Daniel A. Jimenez Calvin Lin
- Locating Anatomical Landmarks for Prosthetics Design using Ensemble Neural Networks
- Boolean Formulabased Branch Prediction for Future Technologies Daniel A. Jimenez Heather L. Hanson Calvin Lin
- Idealized Piecewise Linear Branch Prediction Daniel A. Jimenez
- Perceptron Learning for Predicting the Behavior of Conditional Branches Daniel A. Jimenez Calvin Lin
- Composite Confidence Estimators for Enhanced Speculation Control Daniel A. Jimenez Calvin Lin
- Appears in the Proceedings of the 41st Annual IEEE/ACM International Symposium on Microarchitecture
- Appears in the Proceedings of the 33 rd Annual International Symposium on Microarchitecture The Impact of Delay on the Design of Branch Predictors
- Dynamically Weighted Ensemble Neural Networks for Classification Daniel Jimenez (djimenez@bluebonnet.uthscsa.edu)
- Code Placement for Improving Dynamic Branch Prediction Daniel A. Jimenez
- Branch Path ReAliasing Daniel A. Jimenez Calvin Lin
- Efficient Program Power Behavior Characterization Chunling Hu Daniel A. Jimenez Ulrich Kremer
- A Method for Locating BK Anatomical Landmarks for a Laser Scanning Imager
- Branch Path Re-Aliasing Daniel A. Jimenez Calvin Lin
- METHODS FOR SATISFYING HARD BOOLEAN Supervising Professor
- A Two-Level Load/Store Queue Based on Execution Locality Miquel Peric`as
- Dynamic Branch Prediction with Perceptrons Daniel A. Jimenez Calvin Lin
- CS 5513 Fall 2009 Midterm Exam Mark your answer for each question on the SCAN-TRON
- Appears in Proceedings of the 2011 International IEEE International Symposium on Workload Characterization (IISWC), pp. 172183, Austin, Texas, November 2011
- Appears in Proceedings of the 2011 IEEE International Conference on Computer Design (ICCD), Amherst, Massachusetts, October 2011. An Optimized Scaled Neural Branch Predictor
- Appears in Proceedings of the 18th International Symposium on High Performance Computer Architecture (HPCA-18), February, 2012. Decoupled Dynamic Cache Segmentation
