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Sven-Bodo Scholz
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2020 – today
- 2024
- [c66]Stefan Schrijvers
, Thomas Koopman
Shray: An Owner-Compute Distributed Shared-Memory System. ARRAY@PLDI 2024: 25-37 - [i4]Artjoms Sinkarovs, Thomas Koopman, Sven-Bodo Scholz:
Correctness is Demanding, Performance is Frustrating. CoRR abs/2406.10405 (2024) - 2023
- [c65]Artjoms Sinkarovs, Thomas Koopman
Rank-Polymorphism for Shape-Guided Blocking. FHPNC 2023: 1-14 - [c64]Jordy Aaldering
Type Patterns: Pattern Matching on Shape-Carrying Array Types. IFL 2023: 11:1-11:14 - [c63]Michiel Verloop
Modulo in high-performance code: strength reduction for modulo-based array indexing in loops. IFL 2023: 12:1-12:13 - 2022
- [c62]Patrick van Beurden
On Generating Out-Of-Core GPU Code for Multi-Dimensional Array Operations. IFL 2022: 7:1-7:13 - [c61]Artjoms Sinkarovs, Sven-Bodo Scholz:
Parallel scan as a multidimensional array problem. ARRAY@PLDI 2022: 1-11 - 2021
- [c60]Gijs van Cuyck, Sven-Bodo Scholz:
In-Place-Folding of Non-Scalar Hyper-Planes of Multi-Dimensional Arrays. IFL 2021: 29-41 - [c59]Niek Janssen, Sven-Bodo Scholz:
On Mapping N-Dimensional Data-Parallelism Efficiently into GPU-Thread-Spaces. IFL 2021: 54-66 - [c58]Artjoms Sinkarovs
Array languages make neural networks fast. ARRAY@PLDI 2021: 39-50 - 2020
- [j14]Wim Vanderbauwhede
FPGAs for Domain Experts. Int. J. Reconfigurable Comput. 2020: 2725809:1-2725809:2 (2020) - [c57]Hans-Nikolai Vießmann
Effective Host-GPU Memory Management Through Code Generation. IFL 2020: 138-149
2010 – 2019
- 2019
- [c56]Max Baird, Sven-Bodo Scholz, Artjoms Sinkarovs
Checkpointing Kernel Executions of MPI+CUDA Applications. Euro-Par Workshops 2019: 694-706 - [c55]Sven-Bodo Scholz, Artjoms Sinkarovs:
Tensor comprehensions in SaC. IFL 2019: 15:1-15:13 - [c54]Artjoms Sinkarovs
Convolutional neural networks in APL. ARRAY@PLDI 2019: 69-79 - [i3]Artjoms Sinkarovs, Hans-Nikolai Vießmann
Array Languages Make Neural Networks Fast. CoRR abs/1912.05234 (2019) - 2018
- [c53]Max Baird, Christian Fensch, Sven-Bodo Scholz, Artjoms Sinkarovs
A Lightweight Approach to GPU Resilience. Euro-Par Workshops 2018: 826-838 - [c52]Hans-Nikolai Vießmann
Extended Memory Reuse: An Optimisation for Reducing Memory Allocations. IFL 2018: 107-118 - [c51]Artjoms Sinkarovs
A Rosetta Stone for array languages. ARRAY@PLDI 2018: 1-10 - [e3]Sven-Bodo Scholz, Olin Shivers:
Proceedings of the 5th ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming, ARRAY@PLDI 2018, Philadelphia, PA, USA, June 19, 2018. ACM 2018 [contents] - 2017
- [c50]Artjoms Sinkarovs
Recursive Array Comprehensions in a Call-by-Value Language. IFL 2017: 5:1-5:12 - [i2]Artjoms Sinkarovs, Sven-Bodo Scholz:
A Lambda Calculus for Transfinite Arrays: Unifying Arrays and Streams. CoRR abs/1710.03832 (2017) - 2016
- [j13]Artjoms Sinkarovs
Type-driven data layouts for improved vectorisation. Concurr. Comput. Pract. Exp. 28(7): 2092-2119 (2016) - 2015
- [c49]Stuart Gordon, Sven-Bodo Scholz
Dynamic adaptation of functional runtime systems through external control. IFL 2015: 10:1-10:13 - [c48]Hans-Nikolai Vießmann
Making fortran legacy code more functional: using the BGS* geomagnetic field modelling system as an example. IFL 2015: 11:1-11:13 - [c47]Robert Bernecky, Sven-Bodo Scholz
Abstract expressionism for parallel performance. ARRAY@PLDI 2015: 54-59 - [i1]Wim Vanderbauwhede, Sven-Bodo Scholz, Tetsuya Takemi:
Putting Heterogeneous High-Performance Computing at the Fingertips of Domain Experts (NII Shonan Meeting 2015-18). NII Shonan Meet. Rep. 2015 (2015) - 2014
- [j12]Artjoms Sinkarovs
SaC/C formulations of the all-pairs N-body problem and their performance on SMPs and GPGPUs. Concurr. Comput. Pract. Exp. 26(4): 952-971 (2014) - [c46]Sven-Bodo Scholz
Partial evaluation as universal compiler tool: experiences from the SAC Eco system. PEPM 2014: 95-96 - [c45]Merijn Verstraaten, Sven-Bodo Scholz
On Predicting the Impact of Resource Redistributions in Streaming Applications. ARRAY@PLDI 2014: 76-81 - 2013
- [j11]Santanu Kumar Dash
A scalable approach to computing representative lowest common ancestor in directed acyclic graphs. Theor. Comput. Sci. 513: 25-37 (2013) - [c44]Artjoms Sinkarovs, Sven-Bodo Scholz
Semantics-preserving data layout transformations for improved vectorisation. FHPC@ICFP 2013: 59-70 - [c43]Santanu Kumar Dash
Modular design of data-parallel graph algorithms. HPCS 2013: 398-404 - [c42]Artjoms Sinkarovs
Data layout inference for code vectorisation. HPCS 2013: 527-534 - 2012
- [j10]Clemens Grelck, Tim van Deurzen, Stephan Herhut, Sven-Bodo Scholz
Asynchronous adaptive optimisation for generic data-parallel array programming. Concurr. Comput. Pract. Exp. 24(5): 499-516 (2012) - [j9]Volkmar Wieser, Clemens Grelck, Peter Haslinger, Jing Guo, Filip Korzeniowski, Robert Bernecky, Bernhard Moser
Combining high productivity and high performance in image processing using Single Assignment C on multi-core CPUs and many-core GPUs. J. Electronic Imaging 21(2): 021116 (2012) - [c41]Raphael Poss
Lazy reference counting for the microgrid. Interaction between Compilers and Computer Architectures 2012: 41-48 - 2011
- [c40]Jing Guo, Antonio Wendell De Oliveira Rodrigues
Harnessing the Power of GPUs without Losing Abstractions in SAC and ArrayOL: A Comparative Study. IPDPS Workshops 2011: 1183-1190 - [c39]Jing Guo, Jeyarajan Thiyagalingam
Breaking the GPU programming barrier with the auto-parallelising SAC compiler. DAMP 2011: 15-24 - [e2]Sven-Bodo Scholz, Olaf Chitil:
Implementation and Application of Functional Languages - 20th International Symposium, IFL 2008, Hatfield, UK, September 10-12, 2008. Revised Selected Papers. Lecture Notes in Computer Science 5836, Springer 2011, ISBN 978-3-642-24451-3 [contents] - [e1]Marco T. Morazán
Implementation and Application of Functional Languages - 21st International Symposium, IFL 2009, South Orange, NJ, USA, September 23-25, 2009, Revised Selected Papers. Lecture Notes in Computer Science 6041, Springer 2011, ISBN 978-3-642-16477-4 [contents] - 2010
- [j8]Sven-Bodo Scholz
Guest Editors' Editorial: Special Issue on the Second International Workshop on Microgrids. Int. J. Parallel Program. 38(1): 1-3 (2010) - [j7]Clemens Grelck, Sven-Bodo Scholz
Asynchronous Stream Processing with S-Net. Int. J. Parallel Program. 38(1): 38-67 (2010) - [c38]Kristian Stavåker, Daniel Rolls, Jing Guo, Peter Fritzson, Sven-Bodo Scholz:
Compilation of Modelica Array Computations into Single Assignment C for Efficient Execution on CUDA-enabled GPUs. EOOLT 2010: 81-90 - [c37]Frank Penczek, Stephan Herhut, Sven-Bodo Scholz
Message Driven Programming with S-Net: Methodology and Performance. ICPP Workshops 2010: 405-412 - [c36]Stephan Herhut, Carl Joslin, Sven-Bodo Scholz
Concurrent Non-deferred Reference Counting on the Microgrid: First Experiences. IFL 2010: 185-202 - [c35]Raimund Kirner
Compiler-Support for Robust Multi-core Computing. ISoLA (1) 2010: 47-57 - [c34]Daniel Rolls, Carl Joslin, Sven-Bodo Scholz
Unibench: A Tool for Automated and Collaborative Benchmarking. ICPC 2010: 50-51 - [c33]Pam Green, Peter C. R. Lane, Austen Rainer, Sven-Bodo Scholz:
Selecting Features in Origin Analysis. SGAI Conf. 2010: 379-392 - [c32]Frank Penczek, Stephan Herhut, Clemens Grelck, Sven-Bodo Scholz
Parallel signal processing with S-Net. ICCS 2010: 2085-2094
2000 – 2009
- 2009
- [c31]Robert Bernecky, Stephan Herhut, Sven-Bodo Scholz
Symbiotic Expressions. IFL 2009: 107-124 - [c30]Pam Green, Peter C. R. Lane, Austen Rainer, Sven-Bodo Scholz:
Building Classifiers to Identify Split Files. MLDM Posters 2009: 1-8 - [c29]Daniel Rolls, Carl Joslin, Alexei Kudryavtsev, Sven-Bodo Scholz
Numerical Simulations of Unsteady Shock Wave Interactions Using SaC and Fortran-90. PaCT 2009: 445-456 - [c28]Frank Penczek, Clemens Grelck, Sven-Bodo Scholz
An Operational Semantics for S-Net. PARCO 2009: 467-474 - [c27]Stephan Herhut, Sven-Bodo Scholz
Controlling chaos: on safe side-effects in data-parallel operations. DAMP 2009: 59-67 - [c26]Jing Guo, Jeyarajan Thiyagalingam, Sven-Bodo Scholz:
Towards Compiling SAC to CUDA. Trends in Functional Programming 2009: 33-48 - 2008
- [j6]Clemens Grelck, Steffen Kuthe, Sven-Bodo Scholz
A Hybrid Shared Memory Execution Model for a Data Parallel Language with I/O. Parallel Process. Lett. 18(1): 23-37 (2008) - [j5]Clemens Grelck, Sven-Bodo Scholz
A Gentle Introduction to S-Net: Typed Stream Processing and Declarative Coordination of Asynchronous Components. Parallel Process. Lett. 18(2): 221-237 (2008) - [c25]Austen Rainer
Using n-grams to rapidly characterise the evolution of software code. ASE Workshops 2008: 43-52 - 2007
- [c24]Stephan Herhut, Sven-Bodo Scholz
From Contracts Towards Dependent Types: Proofs by Partial Evaluation. IFL 2007: 254-273 - [c23]Clemens Grelck, Sven-Bodo Scholz
Coordinating Data Parallel SAC Programs with S-Net. IPDPS 2007: 1-8 - [c22]Clemens Grelck, Sven-Bodo Scholz
SAC: off-the-shelf support for data-parallelism on multicores. DAMP 2007: 25-33 - 2006
- [j4]Clemens Grelck, Sven-Bodo Scholz
SAC - A Functional Array Language for Efficient Multi-threaded Execution. Int. J. Parallel Program. 34(4): 383-427 (2006) - [j3]Clemens Grelck, Sven-Bodo Scholz
Merging compositions of array skeletons in SaC. Parallel Comput. 32(7-8): 507-522 (2006) - [c21]Clemens Grelck, Sven-Bodo Scholz, Alexander V. Shafarenko:
Streaming Networks for Coordinating Data-Parallel Programs. Ershov Memorial Conference 2006: 451-455 - [c20]Kai Trojahner, Clemens Grelck, Sven-Bodo Scholz:
On Optimising Shape-Generic Array Programs Using Symbolic Structural Information. IFL 2006: 1-18 - [c19]Robert Bernecky, Stephan Herhut, Sven-Bodo Scholz, Kai Trojahner, Clemens Grelck, Alexander V. Shafarenko:
Index Vector Elimination - Making Index Vectors Affordable. IFL 2006: 19-36 - 2005
- [c18]Sven-Bodo Scholz:
Functional Array Programming in SaC. CEFP 2005: 62-99 - [c17]Alexander V. Shafarenko, Sven-Bodo Scholz
Implementing a Numerical Solution of the KPI Equation Using Single Assignment C: Lessons and Experiences. IFL 2005: 160-177 - [c16]Clemens Grelck, Karsten Hinckfuß, Sven-Bodo Scholz
With-Loop Fusion for Data Locality and Parallelism. IFL 2005: 178-195 - [c15]Clemens Grelck, Sven-Bodo Scholz
A Binding Scope Analysis for Generic Programs on Arrays. IFL 2005: 212-230 - [c14]Clemens Grelck, Sven-Bodo Scholz:
Merging Compositions of Array Skeletons in SAC. PARCO 2005: 859-866 - 2004
- [c13]Alexander V. Shafarenko, Sven-Bodo Scholz:
General Homomorphic Overloading. IFL 2004: 195-210 - 2003
- [j2]Sven-Bodo Scholz
Single Assignment C: efficient support for high-level array operations in a functional setting. J. Funct. Program. 13(6): 1005-1059 (2003) - [j1]Clemens Grelck, Sven-Bodo Scholz
Sac - From High-Level Programming with Arrays to Efficient Parallel Execution. Parallel Process. Lett. 13(3): 401-412 (2003) - [c12]Clemens Grelck, Sven-Bodo Scholz, Kai Trojahner:
With-Loop Scalarization - Merging Nested Array Operations. IFL 2003: 118-134 - [c11]Clemens Grelck, Sven-Bodo Scholz:
Towards an Efficient Functional Implementation of the NAS Benchmark FT. PaCT 2003: 230-235 - 2002
- [c10]Clemens Grelck, Sven-Bodo Scholz:
Axis Control in SAC. IFL 2002: 182-198 - 2000
- [c9]Clemens Grelck, Sven-Bodo Scholz:
HPF vs. SAC - A Case Study (Research Note). Euro-Par 2000: 620-624
1990 – 1999
- 1999
- [c8]Clemens Grelck, Sven-Bodo Scholz
Accelerating APL programs with SAC. APL 1999: 50-57 - [c7]Clemens Grelck, Dietmar Kreye, Sven-Bodo Scholz
On Code Generation for Multi-generator WITH-Loops in SAC. IFL 1999: 77-94 - 1998
- [c6]Sven-Bodo Scholz:
On defining application-specific high-level array operations by means of shape-invariant programming facilities. APL 1998: 32-38 - [c5]Sven-Bodo Scholz:
A Case Study: Effects of WITH-Loop-Folding on the NAS Benchmark MG in SAC. IFL 1998: 216-228 - 1997
- [b1]Sven-Bodo Scholz:
Single assignment C: Entwurf und Implementierung einer funktionalen C-Variante mit spezieller Unterstützung shape-invarianter Array-Operationen. University of Kiel, Shaker 1997, ISBN 3-8265-3138-8, pp. 1-196 - [c4]Sven-Bodo Scholz:
WITH-Loop-Folding in SAC - Condensing Consecutive Array Operations. Implementation of Functional Languages 1997: 72-91 - 1996
- [c3]Sven-Bodo Scholz
On Programming Scientific Applications in SAC - A Functional Language Extended by a Subsystem for High-Level Array Operations. Implementation of Functional Languages 1996: 85-104 - 1995
- [c2]Werner E. Kluge, Carsten Rathsack, Sven-Bodo Scholz:
Using pi-RED as a Teaching Tool for Functional Programming and Program Execution. FPLE 1995: 231-249 - 1994
- [c1]Torsten Bülck, Achim Held, Werner E. Kluge, Stefan Pantke, Carsten Rathsack, Sven-Bodo Scholz, Raimund Schröder:
Experience with the Implementation of a Concurrent Graph Reduction System on an nCube/2 Platform. CONPAR 1994: 497-508
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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