MARTIN BURTSCHER

Publications

J. Coplin and M. Burtscher. Energy and Power Considerations of GPUs. Chapter 19 in Advances in GPU Research and Practice. Elsevier, 2017. [AGRP'17a]

A. Yang, J. Coplin, H. Mukka, F. Hesaaraki, and M. Burtscher. MPC: An Effective Floating-Point Compression Algorithm for GPUs. Chapter 13 in Advances in GPU Research and Practice. Elsevier, 2017. [AGRP'17b]

M. Burtscher, F. Hesaaraki, H. Mukka, and A. Yang. Real-Time Synthesis of Compression Algorithms for Scientific Data. ACM/IEEE International Conference for High-Performance Computing, Networking, Storage and Analysis. November 2016. [SC'16]

J. Coplin, A. Yang, A. Poppe, and M. Burtscher. Increasing Telemetry Throughput Using Customized and Adaptive Data Compression. AIAA SPACE and Astronautics Forum and Exposition. September 2016. [SPACE'16]

S. Maleki, A. Yang, and M. Burtscher. Higher-Order and Tuple-Based Massively-Parallel Prefix Sums. ACM SIGPLAN Conference on Programming Language Design and Implementation. June 2016. [PLDI'16]

J. Coplin and M. Burtscher. Energy, Power, and Performance Characterization of GPGPU Benchmark Programs. Twelfth Workshop on High-Performance, Power-Aware Computing. May 2016. [HPPAC'16]

B. Goodarzi, M. Burtscher, and D. Goswami. Parallel Graph Partitioning on a CPU-GPU Architecture. Twenty Fifth International Heterogeneity in Computing Workshop. May 2016. [HCW'16]

I. Szczyrba, R. Szczyrba, and M. Burtscher. Geometric Representations of the n-anacci Constants and Generalizations Thereof. Journal of Integer Sequences, Vol. 19, Article 16.3.8. April 2016. [JIS'16]

A. Yang, H. Mukka, F. Hesaaraki, and M. Burtscher. MPC: A Massively Parallel Compression Algorithm for Scientific Data. IEEE Cluster Conference. September 2015. [Cluster'15]

S. Rahman, M. Burtscher, Z. Zong, and A. Qasem. Maximizing Hardware Prefetch Effectiveness with Machine Learning. 17th IEEE International Conference on High Performance Computing and Communications. August 2015. [HPCC'15]

A. Dzhagaryan, A. Milenkovic, and M. Burtscher. Quantifying Benefits of Lossless Compression Utilities on Modern Smartphones. 24th International Conference on Computer Communications and Networks. August 2015. [ICCCN'15] (best paper candidate)

S. Taheri, A. Qasem, and M. Burtscher. A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels. 2015 International Conference on Parallel and Distributed Processing Techniques and Applications. July 2015. [PDPTA'15]

I. Szczyrba, R. Szczyrba, and M. Burtscher. Analytic Representations of the n-anacci Constants and Generalizations Thereof. Journal of Integer Sequences, Vol. 18, Article 15.4.5. May 2015. [JIS'15]

M. Burtscher, W. Peng, A. Qasem, H. Shi, D. Tamir, and H. Thiry. A Module-based Approach to Adopting the 2013 ACM Curricular Recommendations on Parallel Computing. 2015 ACM SIGCSE Symposium. March 2015. [SIGCSE'15]

J. Coplin and M. Burtscher. Effects of Source-Code Optimizations on GPU Performance and Energy Consumption. Eighth Workshop on General Purpose Processing Using GPUs. February 2015. [GPGPU'15b]

M. A. O'Neil and M. Burtscher. Rethinking the Parallelization of Random-Restart Hill Climbing. Eighth Workshop on General Purpose Processing Using GPUs. February 2015. [GPGPU'15a]

B. Li, Y. Lu, C. Li, A. Godil, T. Schreck, M. Aono, M. Burtscher, Q. Chen, N. K. Chowdhury, B. Fang, H. Fu, T. Furuya, H. Li, J. Liu, H. Johan, R. Kosaka, H. Koyanagi, R. Ohbuchi, A. Tatsuma, Y. Wan, C. Zhang, and C. Zou. A Comparison of 3D Shape Retrieval Methods based on a Large-Scale Benchmark Supporting Multimodal Queries. Computer Vision and Image Understanding, Vol. 131, pp. 1-27, Elsevier. February 2015. [CVIU'15]

J. Coplin and M. Burtscher. Power Characteristics of Irregular GPGPU Programs. 2014 International Workshop on Green Programming, Computing, and Data Processing. November 2014. [GPCDP'14]

M. A. O'Neil and M. Burtscher. Microarchitectural Performance Characterization of Irregular GPU Kernels. 2014 IEEE International Symposium on Workload Characterization. October 2014. [IISWC'14]

R. Ge, X. Feng, M. Burtscher, and Z. Zong. Performance and Energy Modeling for Cooperative Hybrid Computing. 9th IEEE International Conference on Networking, Architecture, and Storage. August 2014. [NAS'14]

H. Rabeti and M. Burtscher. Feature Selection by Tree Search of Correlation-Adjusted Class Distances. 2014 International Conference on Data Mining. July 2014. [DMIN'14]

B. Li, Y. Lu, C. Li, A. Godil, T. Schreck, M. Aono, M. Burtscher, H. Fu, T. Furuya, H. Johan, J. Liu, R. Ohbuchi, A. Tatsuma, and C. Zou. SHREC'14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval Eurographics Workshop on 3D Object Retrieval. April 2014. [3DOR'14]

V. Uzelac, A. Milenkovic, M. Milenkovic, and M. Burtscher. Using Branch Predictors and Variable Encoding for On-the-Fly Program Tracing. IEEE Transactions on Computers, Vol. 63, No. 4, pp. 1008-1020, IEEE Computer Society. April 2014. [TC'14]

K. Rocki, M. Burtscher, and R. Suda. The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both? 29th ACM Symposium on Applied Computing. March 2014. [SAC'14]

M. Burtscher, I. Zecena, and Z. Zong. Measuring GPU Power with the K20 Built-in Sensor. Seventh Workshop on General Purpose Processing Using GPUs, pp. 28-36. March 2014. [GPGPU'14]

K. Rocki and M. Burtscher. The Future of Accelerator Programming. HPC wire. January, 2014. [HPCwire'14]

I. Zecena, M. Burtscher, T. Jin, and Z. Zong. Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs. 32nd IEEE International Performance Computing and Communications Conference, pp. 1 - 8. December 2013. [IPCCC'13]

M. Burtscher, H. Shi, W. Peng, D. Tamir, A. Qasem, and H. Thiry. Integrating Parallel Computing into the Undergraduate Curriculum at Texas State University: Experiences from the First Year. Workshop on Parallel, Distributed, and High-Performance Computing in Undergraduate Curricula. November 2013. [EduPDHPC'13]

R. Ge, R. Vogt, J. Majumder, A. Alam, M. Burtscher, and Z. Zong. Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU. 2nd International Workshop on Power-aware Algorithms, Systems, and Architectures, pp. 826 - 833. October 2013. [PASA'13]

A. Milenkovic, A. Dzhagaryan, and M. Burtscher. Performance and Energy Consumption of Lossless Compression/Decompression Utilities on Mobile Computing Platforms. IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, pp. 254 - 263. August 2013. [MASCOTS'13]

M. Burtscher and H. Rabeti. GPU Acceleration of a Genetic Algorithm for the Synthesis of FSM-based Bimodal Predictors. 2013 International Conference on Parallel and Distributed Processing Techniques and Applications. July 2013. [PDPTA'13]

M. Burtscher and H. Rabeti. A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches. 27th IEEE International Parallel & Distributed Processing Symposium, pp. 1289-1298. May 2013. [IPDPS'13a]

R. Nasre, M. Burtscher, and K. Pingali. Data-driven versus Topology-driven Irregular Computations on GPUs. 27th IEEE International Parallel & Distributed Processing Symposium, pp. 463-474. May 2013. [IPDPS'13b]

A. Dzhagaryan, A. Milenkovic, and M. Burtscher. Energy Efficiency of Lossless Data Compression on a Mobile Device: An Experimental Evaluation. 2013 IEEE International Symposium on Performance Analysis of Systems and Software. April 2013. [ISPASS'13]

R. Nasre, M. Burtscher, and K. Pingali. Atomic-free Irregular Computations on GPUs. Sixth Workshop on General Purpose Processing Using GPUs, pp. 96-107. March 2013. [GPGPU'13]

R. Nasre, M. Burtscher, and K. Pingali. Morph Algorithms on GPUs. 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 147-156. February 2013. [PPoPP'13]

M. Burtscher, R. Nasre, and K. Pingali. A Quantitative Study of Irregular Programs on GPUs. 2012 IEEE International Symposium on Workload Characterization, pp. 141-151. November 2012. [IISWC'12]

I. Szczyrba, M. Burtscher, and R. Szczyrba. Validating Critical Limits of the Universal Brain Injury Criterion. 2012 International Conference on Bioinformatics and Computational Biology, pp. 199-205. July 2012. [BIOCOMP'12]

P. Ratanaworabhan, M. Burtscher, D. Kirovski, B. Zorn. Hardware Support for Enforcing Isolation in Lock-Based Parallel Programs. 26th International Conference on Supercomputing, pp. 301-310. June 2012. [ICS'12]

P. Ratanaworabhan, M. Burtscher, D. Kirovski, B. Zorn, R. Nagpal, and K. Pattabiraman. Efficient Runtime Detection and Toleration of Asymmetric Races. IEEE Transactions on Computers, Vol. 61, No. 4, pp. 548-562, IEEE Computer Society. April 2012. [TC'12]

M. Mendez-Lojo, M. Burtscher, and K. Pingali. A GPU Implementation of Inclusion-based Points-to Analysis. 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 107-116. February 2012. [PPoPP'12]

O. A. Sopeju, M. Burtscher, A. Rane, and J. Browne. AutoSCOPE: Automatic Suggestions for Code Optimizations Using PerfExpert. 2011 International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 19-25. July 2011. [PDPTA'11a]

M. A. O'Neil, D. Tamir, and M. Burtscher. A Parallel GPU Version of the Traveling Salesman Problem. 2011 International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 348-353. July 2011. [PDPTA'11b]

I. Szczyrba, M. Burtscher, and R. Szczyrba. Computer Modeling of Diffuse Axonal Injury Mechanisms. 2011 International Conference on Bioinformatics and Computational Biology. July 2011. [BIOCOMP'11]

A. Milenkovic, V. Uzelac, M. Milenkovic, and M. Burtscher. Caches and Predictors for Real-time, Unobtrusive, and Cost-Effective Program Tracing in Embedded Systems. IEEE Transactions on Computers, Vol. 60, No. 7, pp. 992-1005, IEEE Computer Society. July 2011. [TC'11]

K. Pingali, D. Nguyen, M. Kulkarni, M. Burtscher, M. A. Hassaan, R. Kaleem, T. H. Lee, A. Lenharth, R. Manevich, M. Mendez-Lojo, D. Prountzos, and X. Sui. The Tao of Parallelism in Algorithms. ACM SIGPLAN 2011 Conference on Programming Language Design and Implementation, pp. 12-25. June 2011. [PLDI'11]

J. Diamond, M. Burtscher, J. McCalpin, B. Kim, S. Kecker, and J. Browne. Making Sense of Performance Counter Measurements on Supercomputing Applications. 2011 IEEE International Symposium on Performance Analysis of Systems and Software, pp. 32-43. April 2011. [ISPASS'11] (best paper award)

M. A. O'Neil and M. Burtscher. Floating-Point Data Compression at 75 Gb/s on a GPU. Fourth Workshop on General Purpose Processing Using GPUs. March 2011. [GPGPU'11]

M. A. Hassaan, M. Burtscher, and K. Pingali. Ordered vs. Unordered: a Comparison of Parallelism and Work-efficiency in Irregular Algorithms. 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 3-12. February 2011. [PPoPP'11]

M. Burtscher and K. Pingali. An Efficient CUDA Implementation of the Tree-based Barnes Hut n-Body Algorithm. Chapter 6 in GPU Computing Gems Emerald Edition, pp. 75-92. January 2011. [GCG'11]

M. Burtscher, B.D. Kim, J. Diamond, J. McCalpin, L. Koesterke, and J. Browne. PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications. SC 2010 International Conference for High-Performance Computing, Networking, Storage and Analysis, pp. 1-11. November 2010. [SC'10]

V. Uzelac, A. Milenkovic, M. Burtscher, M. Milenkovic. Real-time Unobtrusive Program Execution Trace Compression Using Branch Predictor Events. International Conference on Compilers, Architectures and Synthesis for Embedded Systems, pp. 97-106. October 2010. [CASES'10]

X. Sui, D. Nguyen, M. Burtscher, and K. Pingali. Parallel Graph Partitioning on Multicore Architectures. Languages and Compilers for Parallel Computing 23rd Annual Workshop, pp. 246-260. October 2010. [LCPC'10]

M. Burtscher, B. Livshits, G. Sinha, and B. Zorn. JSZap: Compressing JavaScript Code. USENIX Conference on Web Application Development. June 2010. [WebApps'10]

M. Burtscher and P. Ratanaworabhan. gFPC: A Self-Tuning Compression Algorithm. 2010 Data Compression Conference, pp. 396-405. March 2010. [DCC'10]

M. Mendez-Lojo, D. Nguyen, D. Prountzos, X. Sui, M. A. Hassaan, M. Kulkarni, M. Burtscher, and K. Pingali. Structure-driven Optimizations for Amorphous Data-parallel Programs 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 3-14. January 2010. [PPoPP'10] (best paper candidate)

C. Burstedde, M. Burtscher, O. Ghattas, G. Stadler, T. Tu, and L. C. Wilcox. ALPS: A Framework for Parallel Adaptive PDE Solution. Journal of Physics: Conference Series, Vol. 180, 012009, 8pp. August 2009. [JPCS'09]

V. Uzelac, A. Milenkovic, M. Milenkovic, and M. Burtscher. Real-time, Unobtrusive, and Efficient Program Execution Tracing with Stream Caches and Last Stream Predictors. 2009 International Conference of Computer Design. October 2009. [ICCD'09]

J. Diamond, B. D. Kim, M. Burtscher, S. Keckler, K. Pingali, and J. Browne. Multicore Optimization for Ranger. 2009 TeraGrid Conference. June 2009. [TG'09]

M. Kulkarni, M. Burtscher, C. Cascaval, and K. Pingali. Lonestar: A Suite of Parallel Irregular Programs. 2009 IEEE International Symposium on Performance Analysis of Systems and Software, pp. 65-76. April 2009. [ISPASS'09]

M. Burtscher and P. Ratanaworabhan. pFPC: A Parallel Compressor for Floating-Point Data. 2009 Data Compression Conference, pp. 43-52. March 2009. [DCC'09]

P. Ratanaworabhan, M. Burtscher, D. Kirovski, R. Nagpal, K. Pattabiraman, and B. Zorn. Detecting and Tolerating Asymmetric Races. 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 173-184. February 2009. [PPoPP'09a]

M. Kulkarni, M. Burtscher, R. Inkulu, C. Cascaval, and K. Pingali. How Much Parallelism is There in Irregular Applications? 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 3-14. February 2009. [PPoPP'09b]

M. Burtscher and P. Ratanaworabhan. FPC: A High-Speed Compressor for Double-Precision Floating-Point Data. IEEE Transactions on Computers, Vol. 58, No. 1, pp. 18-31. January 2009. [TC'09]

M. Burtscher, M. Kulkarni, D. Prountzos, and K. Pingali. On the Scalability of an Automatically Parallelized Irregular Application. Languages and Compilers for Parallel Computing 21st Annual Workshop, pp. 109-123. July 2008. [LCPC'08]

I. Szczyrba, M. Burtscher, and R. Szczyrba. On the Role of a Nonlinear Stress-Strain Relation in Brain Trauma. 2008 International Conference on Bioinformatics & Computational Biology, pp. 265-271. July 2008. [BIOCOMP'08]

P. Ratanaworabhan and M. Burtscher. Program Phase Detection based on Critical Basic Block Transitions. 2008 IEEE International Symposium on Performance Analysis of Systems and Software, pp. 11-21. April 2008. [ISPASS'08]

I. Szczyrba, M. Burtscher, and R. Szczyrba. Computational Modeling of Brain Dynamics during Repetitive Head Motions. 2007 International Conference on Modeling, Simulation and Visualization Methods, pp. 143-149. June 2007. [MSV'07]

I. Szczyrba, M. Burtscher, and R. Szczyrba. A Proposed New Brain Injury Tolerance Criterion Based on the Exchange of Energy between the Skull and the Brain. 2007 Summer Bioengineering Conference. June 2007. [SBC'07]

M. Burtscher and P. Ratanaworabhan. High Throughput Compression of Double-Precision Floating-Point Data. 2007 Data Compression Conference, pp. 293-302. March 2007. [DCC'07a]

M. Milenkovic, A. Milenkovic, and M. Burtscher. Algorithms and Hardware Structures for Unobtrusive Real-Time Compression of Instruction and Data Address Traces. 2007 Data Compression Conference, pp. 283-292. March 2007. [DCC'07b]

I. Ganusov and M. Burtscher. Future Execution: A Prefetching Mechanism that Uses Multiple Cores to Speed up Single Threads. ACM Transactions on Architecture and Code Optimization, Vol. 3, No. 4, pp. 424-449. December 2006. [TACO'06]

P. Ratanaworabhan and M. Burtscher. Load Instruction Characterization and Acceleration of the BioPerf Programs. 2006 IEEE International Symposium on Workload Characterization, pp. 71-79. October 2006. [IISWC'06]

I. Ganusov and M. Burtscher. Efficient Emulation of Hardware Prefetchers via Event-Driven Helper Threading. 2006 International Conference on Parallel Architectures and Compilation Techniques, pp. 144-153. September 2006. [PACT'06]

M. Burtscher and I. Szczyrba. Computational Simulation and Visualization of Traumatic Brain Injuries. 2006 International Conference on Modeling, Simulation and Visualization Methods, pp. 101-107. June 2006. [MSV'06]

M. Burtscher. TCgen 2.0: A Tool to Automatically Generate Lossless Trace Compressors. Computer Architecture News, Vol. 34, No. 3, pp. 1-8. June 2006. [CAN'06]

P. Ratanaworabhan, J. Ke, and M. Burtscher. Fast Lossless Compression of Scientific Floating-Point Data. 2006 Data Compression Conference, pp. 133-142. March 2006. [DCC'06]

S. J. Jackson and M. Burtscher. Self Optimizing Finite State Machines for Confidence Estimators. 2006 Workshop on Introspective Architecture. February 2006. [WISA'06]

C. C. Liu, I. Ganusov, M. Burtscher, and S. Tiwari. Bridging the Processor-Memory Performance Gap with 3D IC Technology. IEEE Design & Test of Computers, Vol. 22, No. 6, pp. 556-564. November/December 2005. [D&T'05]

M. Burtscher, I. Ganusov, S. J. Jackson, J. Ke, P. Ratanaworabhan, and N. B. Sam. The VPC Trace-Compression Algorithms. IEEE Transactions on Computers, Vol. 54, No. 11, pp. 1329-1344. November 2005. [TC'05]

C. C. Liu, I. Ganusov, M. Burtscher, and S. Tiwari. Improving Microprocessor Performance through 3D IC Technology. Semiconductor Research Corporation's TECHCON 2005 Conference. October 2005. [TECHCON'05]

I. Ganusov and M. Burtscher. Future Execution: A Hardware Prefetching Technique for Chip Multiprocessors. 2005 International Conference on Parallel Architectures and Compilation Techniques, pp. 350-360. September 2005. [PACT'05]

N. B. Sam and M. Burtscher. Improving Memory System Performance with Energy-Efficient Value Speculation. Computer Architecture News, Vol. 33, No. 4, pp. 121-127. September 2005. [CAN'05]

J. Ke, M. Burtscher, and E. Speight. Tolerating Message Latency through the Early Release of Blocked Receives. Euro-Par 2005, pp. 19-29. August 2005. [EUROPAR'05]

J. Ke, M. Burtscher, and E. Speight. Reducing Communication Time through Message Prefetching. The 2005 International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 557-563. June 2005. [PDPTA'05]

M. Burtscher and I. Szczyrba. On the Role of the Brain's Geometry in Closed Head Injuries. 2005 Summer Bioengineering Conference. June 2005. [SBC'05]

M. Burtscher and I. Szczyrba. Numerical Modeling of Brain Dynamics in Traumatic Situations - Impulsive Translations. The 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, pp. 205-211. June 2005. [METMBS'05]

I. Ganusov and M. Burtscher. On the Importance of Optimizing the Configuration of Stream Prefetchers. 3rd Annual ACM SIGPLAN Workshop on Memory Systems Performance, pp. 54-61. June 2005. [MSP'05]

N. B. Sam and M. Burtscher. Complex Load-Value Predictors: Why We Need Not Bother. Fourth Annual Workshop on Duplicating, Deconstructing, and Debunking, pp. 16-24. June 2005. [WDDD'05]

N. B. Sam and M. Burtscher. On the Energy-Efficiency of Speculative Hardware. 2005 ACM International Conference on Computing Frontiers, pp. 361-370. May 2005. [CF'05]

M. Burtscher and N. B. Sam. Automatic Generation of High-Performance Trace Compressors. 2005 International Symposium on Code Generation and Optimization, pp. 229-240. March 2005. [CGO'05]

M. Burtscher and I. Ganusov. Automatic Synthesis of High-Speed Processor Simulators. 37th Annual IEEE/ACM International Symposium on Microarchitecture, pp. 55-66. December 2004. [MICRO'04]

J. Ke, M. Burtscher, and E. Speight. Runtime Compression of MPI Messages to Improve the Performance and Scalability of Parallel Applications. High-Performance Computing, Networking and Storage Conference, pp. 59-65. November 2004. [SC'04]

N. B. Sam and M. Burtscher. Exploiting Type Information in Load-Value Predictors. Second Value-Prediction and Value-Based Optimization Workshop, pp. 32-39. October 2004. [VPW'04]

M. Burtscher. VPC3: A Fast and Effective Trace-Compression Algorithm. Joint International Conference on Measurement and Modeling of Computer Systems, pp. 167-176. June 2004. [SIGMETRICS'04]

M. Burtscher and M. Jeeradit. Compressing Extended Program Traces Using Value Predictors. 12th International Conference on Parallel Architectures and Compilation Techniques, pp. 159-169. September 2003. [PACT'03]

I. Szczyrba and M. Burtscher. On the Role of Ventricles in Diffuse Axonal Injuries. 2003 Summer Bioengineering Conference, pp. 147-148. June 2003. [SBC'03]

M. Burtscher and B. G. Zorn. Hybrid Load-Value Predictors. IEEE Transactions on Computers, Vol. 51, No. 7, pp. 759-774. July 2002. [TC'02]

E. Speight and M. Burtscher. Delphi: Prediction-Based Page Prefetching to Improve the Performance of Shared Virtual Memory Systems. The International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 49-55. June 2002. [PDPTA'02]

M. Burtscher, A. Diwan, and M. Hauswirth. Static Load Classification for Improving the Value Predictability of Data-Cache Misses. ACM SIGPLAN 2002 Conference on Programming Language Design and Implementation, pp. 222-233. June 2002. [PLDI'02]

M. Burtscher. An Improved Index Function for (D)FCM Predictors. Computer Architecture News, Vol. 30, No. 3, pp. 19-24. June 2002. [CAN'02]

M. Burtscher and B. G. Zorn. Hybridizing and Coalescing Load Value Predictors. 2000 IEEE International Conference on Computer Design: VLSI in Computers & Processors, pp. 81-92. September 2000. [ICCD'00]

M. Burtscher. Improving Context-Based Load Value Prediction. Ph.D. Dissertation, Department of Computer Science, University of Colorado at Boulder. April 2000. [DISS'00]

M. Burtscher and B. G. Zorn. Exploring Last n Value Prediction. The 1999 International Conference on Parallel Architectures and Compilation Techniques, pp. 66-76. October 1999. [PACT'99]

M. Burtscher and B. G. Zorn. Prediction Outcome History-based Confidence Estimation for Load Value Prediction. Journal of Instruction-Level Parallelism, Vol. 1. May 1999. [JILP'99]

M. Burtscher and B. G. Zorn. Load Value Prediction Using Prediction Outcome Histories. University of Colorado at Boulder, Computer Science, Technical Report CU-CS-873-98. November 1998. [TR'98]

M. Burtscher and B. G. Zorn. Profile-Supported Confidence Estimation for Load-Value-Prediction. Workshop on Profile and Feedback-Directed Compilation. October 1998. [PFDC'98]

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