Travelled to:
1 × China
1 × Germany
1 × India
1 × South Korea
5 × USA
Collaborated with:
K.Pingali Sepideh Maleki M.Méndez-Lojo M.A.Hassaan N.B.Sam M.Kulkarni K.Rocki R.Suda R.Nasre A.Diwan M.Hauswirth Annie Yang D.Nguyen D.Prountzos X.Sui R.Inkulu C.Cascaval P.Ratanaworabhan D.Kirovski B.G.Zorn R.Nagpal K.Pattabiraman R.Kaleem T.Lee A.Lenharth R.Manevich
Talks about:
parallel (6) algorithm (3) irregular (2) program (2) perform (2) automat (2) order (2) data (2) base (2) compressor (1)
Person: Martin Burtscher
DBLP: Burtscher:Martin
Contributed to:
Wrote 12 papers:
- SAC-2014-RockiBS #abstraction #future of #performance #programming #question
- The future of accelerator programming: abstraction, performance or can we have both? (KR, MB, RS), pp. 886–895.
- PPoPP-2013-NasreBP #algorithm
- Morph algorithms on GPUs (RN, MB, KP), pp. 147–156.
- PPoPP-2012-Mendez-LojoBP #analysis #gpu #implementation #points-to
- A GPU implementation of inclusion-based points-to analysis (MML, MB, KP), pp. 107–116.
- PLDI-2011-PingaliNKBHKLLMMPS #algorithm #parallel
- The tao of parallelism in algorithms (KP, DN, MK, MB, MAH, RK, THL, AL, RM, MML, DP, XS), pp. 12–25.
- PPoPP-2011-HassaanBP #algorithm #comparison #order #parallel
- Ordered vs. unordered: a comparison of parallelism and work-efficiency in irregular algorithms (MAH, MB, KP), pp. 3–12.
- PPoPP-2010-Mendez-LojoNPSHKBP #optimisation #source code
- Structure-driven optimizations for amorphous data-parallel programs (MML, DN, DP, XS, MAH, MK, MB, KP), pp. 3–14.
- PPoPP-2009-KulkarniBIPC #how #parallel #question
- How much parallelism is there in irregular applications? (MK, MB, RI, KP, CC), pp. 3–14.
- PPoPP-2009-RatanaworabhanBKZNP #detection #symmetry
- Detecting and tolerating asymmetric races (PR, MB, DK, BGZ, RN, KP), pp. 173–184.
- CGO-2005-BurtscherS #automation #generative
- Automatic Generation of High-Performance Trace Compressors (MB, NBS), pp. 229–240.
- PLDI-2002-BurtscherDH #classification #predict
- Static Load Classification for Improving the Value Predictability of Data-Cache Misses (MB, AD, MH), pp. 222–233.
- PLDI-2016-MalekiYB #higher-order
- Higher-order and tuple-based massively-parallel prefix sums (SM, AY, MB), pp. 539–552.
- ASPLOS-2018-MalekiB #automation #linear #parallel
- Automatic Hierarchical Parallelization of Linear Recurrences (SM, MB), pp. 128–138.