Associate Professor 2010-present, ECL, CS, TX State
Research Scientist 2007-2010, ISS, ICES, UT Austin
Assistant Professor 2000-2007, CSL, ECE, Cornell

Ph.D. (2000), Computer Science, CU Boulder
M.S. (1996), Computer Science, ETH Zurich
B.S. (1994), Computer Science, ETH Zurich

Short Biography
Martin Burtscher is Associate Professor in the Department of Computer Science at Texas State University. He received the BS/MS degree from ETH Zurich and the Ph.D. degree from the University of Colorado at Boulder. Martin's research interests include efficient parallelization of programs for GPUs, high-speed data compression, and performance assessment and optimization. Martin has co-authored over 90 peer-reviewed scientific publications. He is a distinguished member of the ACM and a senior member of the IEEE and its Computer Society.

Current Research Areas
GPGPU, program parallelization, data compression, energy efficiency, performance assessment

Projects and Publications
GPGPU computing (irregularity, points-to analysis, traveling salesman, data compression, n-body, FSM)
[Cluster'15] [PDPTA'15] [GPGPU'15a] [IISWC'14] [SAC'14] [GPGPU'14] [HPCwire'14] [PDPTA'13] [IPDPS'13b] [GPGPU'13] [PPoPP'13] [IISWC'12] [PPoPP'12] [PDPTA'11b] [GPGPU'11] [GCG'11]
Parallel computing (parallelization, irregular programs, race tolerance, MPI acceleration)
[SIGCSE'15] [EduPDHPC'13] [IPDPS'13a] [ICS'12] [TC'12] [PLDI'11] [PPoPP'11] [LCPC'10] [PPoPP'10] [ISPASS'09] [PPoPP'09a] [PPoPP'09b] [LCPC'08] [EUROPAR'05] [PDPTA'05] [SC'04] [PDPTA'02]
Energy efficiency (GPU power profiles, GPU DVFS, compression on handhelds, speculation)
[ICCCN'15] [GPGPU'15b] [GPCDP'14] [NAS'14] [IPCCC'13] [PASA'13] [MASCOTS'13] [ISPASS'13] [CF'05]
Performance evaluation and optimization, classification (recommendation systems, phase detection)
[HPCC'15] [CVIU'15] [DMIN'14] [3DOR'14] [PDPTA'11a] [ISPASS'11] [SC'10] [JPCS'09] [TG'09] [ISPASS'08] [IISWC'06] [MICRO'04] [PLDI'02]
Lossless data compression (program execution traces, floating-point data, JavaScript source code)
[TC'14] [TC'11] [CASES'10] [WebApps'10] [DCC'10] [ICCD'09] [DCC'09] [TC'09] [DCC'07a] [DCC'07b] [CAN'06] [DCC'06] [TC'05] [CGO'05] [SIGMETRICS'04] [PACT'03]
Computational brain-injury modeling (bioengineering, visualization, BIC)
[BIOCOMP'12] [BIOCOMP'11] [BIOCOMP'08] [MSV'07] [SBC'07] [MSV'06] [SBC'05] [METMBS'05] [SBC'03]
Prefetching and caching (multicore architectures, helper threading, 3D architectures)
[TACO'06] [PACT'06] [D&T'05] [PACT'05] [TECHCON'05] [MSP'05]
Value prediction (hybrid predictors, energy/complexity efficient design, confidence estimators)
[WISA'06] [CAN'05] [WDDD'05] [VPW'04] [TC'02] [CAN'02] [ICCD'00] [DISS'00] [PACT'99] [JILP'99] [PFDC'98]

Software and Data
Benchmark suites: LonestarGPU (irregular GPU code), Lonestar (irregular CPU code)
Parallelization systems: ILCS (iterative local searches), Galois (irregular programs)
GPU code: FSM_GA (bimodal FSM), TSP_GPU (TSP), GFC (compression), Barnes Hut (n-body)
Energy/Performance: K20Power (GPU power profiler), PerfExpert/AutoSCOPE (bottleneck diagnosis)
Sequence mining: CBBT (phase detection), patterns (frequent subsequences)
Floating-point compression: GFC, gFPC, pFPC, and FPC (compression algorithms), data (13 datasets)
Trace compression: TCgen (compressor generator), VPC3 (compression algorithm)
Brain-injury modeling: TBI (model, BIC, animations)

Teaching Material
Lecture slides: Teaching modules (introduction to parallel programming for undergraduates)

Research Students
Steven Claggett: High-speed data compression
James Edwards: GPU performance optimization
Sepideh Maleki: Exploiting patterns in regular and irregular GPU codes
Sindhu Devale: Debugging of large-scale heterogeneous programs
Annie Yang: Data compression algorithms for massively-parallel architectures
Jared Coplin: Energy-efficiency optimization of GPU programs
Farbod Hesaaraki: Unobtrusive real-time tracing of parallel programs (MS Spring 2015)
Molly O'Neil: Using GPUs to accelerate irregular programs (MS Spring 2015)
Saeed Taheri: Optimization suggestions for GPU programs (MS Fall 2014)
Hari Mukka: Data compressor synthesis (MS Fall 2014)
Paruj Ratanaworabhan: Automatic race tolerance (Ph.D. in 2009)
Ilya Ganusov: Multi-core helper threading (Ph.D. in 2007)

Professional Activities
Committee Member: Cluster'15, PLDI'15, PPoPP'15, PLDI'14, PPoPP'14, GPGPU'13, PPoPP'13, GPGPU'12, PPoPP'12, PACT'11, ICSEC'11, PLDI'11, HPCA'11, PPoPP'10, ISCA'09, PPoPP'09, IISWC'08, MSPC'06, IISWC'05, CGO'05, ICS'02
Workshops & Tutorials: TUES1, COT5, COT4, PET5, COT3, PET4, PET3, COT2, PET2, COT1, PET1, VPW2, VPW1
Distinguished Member of the ACM; Senior Member of the IEEE and IEEE CS
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