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ORCIDRobert A. van de Geijn
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- affiliation: University of Texas at Austin, USA
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2020 – today
- 2023
[c65]RuQing G. Xu
, Field G. Van Zee, Robert A. van de Geijn:
Towards a Unified Implementation of GEMM in BLIS. ICS 2023: 111-121- [i17]Ruqing G. Xu, Field G. Van Zee, Robert A. van de Geijn:
GEMMFIP: Unifying GEMM in BLIS. CoRR abs/2302.08417 (2023) - [i16]Devangi N. Parikh, Robert A. van de Geijn, Greg M. Henry:
Cascading GEMM: High Precision from Low Precision. CoRR abs/2303.04353 (2023) - [i15]Robert A. van de Geijn, Maggie E. Myers:
Formal Derivation of LU Factorization with Pivoting. CoRR abs/2304.03068 (2023) - 2022
- [p2]Robert A. van de Geijn, Maggie E. Myers:
Applying Dijkstra's Vision to Numerical Software. Edsger Wybe Dijkstra 2022: 215-230 - 2021
- [j55]Field G. Van Zee, Devangi N. Parikh, Robert A. van de Geijn:
Supporting Mixed-domain Mixed-precision Matrix Multiplication within the BLIS Framework. ACM Trans. Math. Softw. 47(2): 12:1-12:26 (2021) - 2020
- [j54]Jianyu Huang, Chenhan D. Yu, Robert A. van de Geijn:
Strassen's Algorithm Reloaded on GPUs. ACM Trans. Math. Softw. 46(1): 1:1-1:22 (2020)
2010 – 2019
- 2019
- [j53]Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez, Robert A. van de Geijn:
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization With Partial Pivoting. IEEE Access 7: 17617-17633 (2019) - [i14]Field G. Van Zee, Devangi N. Parikh, Robert A. van de Geijn:
Supporting mixed-datatype matrix multiplication within the BLIS framework. CoRR abs/1901.06015 (2019) - [i13]Tyler M. Smith, Robert A. van de Geijn:
The MOMMS Family of Matrix Multiplication Algorithms. CoRR abs/1904.05717 (2019) - 2018
- [j52]Jianyu Huang, Devin A. Matthews, Robert A. van de Geijn:
Strassen's Algorithm for Tensor Contraction. SIAM J. Sci. Comput. 40(3) (2018) - [c64]Devangi N. Parikh, Jianyu Huang, Margaret E. Myers, Robert A. van de Geijn:
Learning from Optimizing Matrix-Matrix Multiplication. IPDPS Workshops 2018: 332-339 - [i12]Devangi N. Parikh, Margaret E. Myers, Richard W. Vuduc, Robert A. van de Geijn:
A Simple Methodology for Computing Families of Algorithms. CoRR abs/1808.07832 (2018) - [i11]Jianyu Huang, Chenhan D. Yu, Robert A. van de Geijn:
Implementing Strassen's Algorithm with CUTLASS on NVIDIA Volta GPUs. CoRR abs/1808.07984 (2018) - 2017
- [j51]Per-Gunnar Martinsson, Gregorio Quintana-Ortí, Nathan Heavner, Robert A. van de Geijn:
Householder QR Factorization With Randomization for Column Pivoting (HQRRP). SIAM J. Sci. Comput. 39(2) (2017) - [c63]Jianyu Huang, Leslie Rice, Devin A. Matthews, Robert A. van de Geijn:
Generating Families of Practical Fast Matrix Multiplication Algorithms. IPDPS 2017: 656-667 - [i10]Tyler Michael Smith, Robert A. van de Geijn:
Pushing the Bounds for Matrix-Matrix Multiplication. CoRR abs/1702.02017 (2017) - [i9]Jianyu Huang, Devin A. Matthews, Robert A. van de Geijn:
Strassen's Algorithm for Tensor Contraction. CoRR abs/1704.03092 (2017) - [i8]Devangi N. Parikh, Maggie E. Myers, Robert A. van de Geijn:
Deriving Correct High-Performance Algorithms. CoRR abs/1710.04286 (2017) - 2016
- [j50]Martin D. Schatz, Robert A. van de Geijn, Jack Poulson:
Parallel Matrix Multiplication: A Systematic Journey. SIAM J. Sci. Comput. 38(6) (2016) - [j49]Field G. Van Zee, Tyler M. Smith, Bryan Marker, Tze Meng Low, Robert A. van de Geijn, Francisco D. Igual, Mikhail Smelyanskiy, Xianyi Zhang, Michael Kistler, Vernon Austel, John A. Gunnels, Lee Killough:
The BLIS Framework: Experiments in Portability. ACM Trans. Math. Softw. 42(2): 12:1-12:19 (2016) - [c62]Jianyu Huang, Tyler M. Smith, Greg M. Henry, Robert A. van de Geijn:
Strassen's algorithm reloaded. SC 2016: 690-701 - [i7]Jianyu Huang, Tyler M. Smith, Greg M. Henry, Robert A. van de Geijn:
Implementing Strassen's Algorithm with BLIS. CoRR abs/1605.01078 (2016) - [i6]Jianyu Huang, Robert A. van de Geijn:
BLISlab: A Sandbox for Optimizing GEMM. CoRR abs/1609.00076 (2016) - [i5]Jianyu Huang, Leslie Rice, Devin A. Matthews, Robert A. van de Geijn:
Generating Families of Practical Fast Matrix Multiplication Algorithms. CoRR abs/1611.01120 (2016) - [i4]Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez, Robert A. van de Geijn:
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization with Partial Pivoting. CoRR abs/1611.06365 (2016) - [i3]Richard Michael Veras, Tze Meng Low, Tyler Michael Smith, Robert A. van de Geijn, Franz Franchetti:
Automating the Last-Mile for High Performance Dense Linear Algebra. CoRR abs/1611.08035 (2016) - 2015
- [j48]Field G. Van Zee, Robert A. van de Geijn:
BLIS: A Framework for Rapidly Instantiating BLAS Functionality. ACM Trans. Math. Softw. 41(3): 14:1-14:33 (2015) - [i2]Per-Gunnar Martinsson, Gregorio Quintana-Ortí, Nathan Heavner, Robert A. van de Geijn:
Householder QR Factorization: Adding Randomization for Column Pivoting. FLAME Working Note #78. CoRR abs/1512.02671 (2015) - 2014
- [j47]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors. SIAM J. Sci. Comput. 36(5) (2014) - [j46]Ardavan Pedram, Andreas Gerstlauer, Robert A. van de Geijn:
Algorithm, Architecture, and Floating-Point Unit Codesign of a Matrix Factorization Accelerator. IEEE Trans. Computers 63(8): 1854-1867 (2014) - [j45]Field G. Van Zee, Robert A. van de Geijn, Gregorio Quintana-Ortí:
Restructuring the Tridiagonal and Bidiagonal QR Algorithms for Performance. ACM Trans. Math. Softw. 40(3): 18:1-18:34 (2014) - [c61]Tyler M. Smith, Robert A. van de Geijn, Mikhail Smelyanskiy, Jeff R. Hammond, Field G. Van Zee:
Anatomy of High-Performance Many-Threaded Matrix Multiplication. IPDPS 2014: 1049-1059 - [c60]Bryan Marker, Don S. Batory, Robert A. van de Geijn:
Understanding performance stairs: elucidating heuristics. ASE 2014: 301-312 - 2013
- [j44]Francisco D. Igual, Gregorio Quintana-Ortí, Robert A. van de Geijn:
Scheduling algorithms-by-blocks on small clusters. Concurr. Comput. Pract. Exp. 25(3): 367-384 (2013) - [j43]Paolo Bientinesi, John A. Gunnels, Margaret E. Myers, Enrique S. Quintana-Ortí, Tyler Rhodes, Robert A. van de Geijn, Field G. Van Zee:
Deriving dense linear algebra libraries. Formal Aspects Comput. 25(6): 933-945 (2013) - [j42]Bryan Marker, Don S. Batory, Robert A. van de Geijn:
A case study in mechanically deriving dense linear algebra code. Int. J. High Perform. Comput. Appl. 27(4): 440-453 (2013) - [j41]Jack Poulson, Bryan Marker, Robert A. van de Geijn, Jeff R. Hammond, Nichols A. Romero:
Elemental: A New Framework for Distributed Memory Dense Matrix Computations. ACM Trans. Math. Softw. 39(2): 13:1-13:24 (2013) - [c59]Ardavan Pedram, Andreas Gerstlauer, Robert A. van de Geijn:
Floating Point Architecture Extensions for Optimized Matrix Factorization. IEEE Symposium on Computer Arithmetic 2013: 49-58 - [c58]Bryan Marker, Don S. Batory, Robert A. van de Geijn:
Code Generation and Optimization of Distributed-Memory Dense Linear Algebra Kernels. ICCS 2013: 1282-1291 - [c57]Bryan Marker, Robert A. van de Geijn, Don S. Batory:
DSLs, DLA, DxT, and MDE in CSE. SE-CSE@ICSE 2013: 84-87 - [c56]Bryan Marker, Robert A. van de Geijn, Don S. Batory:
Interfaces are key. SE-HPCCSE@SC 2013: 21-24 - [i1]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance. CoRR abs/1301.7744 (2013) - 2012
- [j40]Bryan Marker, Ernie Chan, Jack Poulson, Robert A. van de Geijn, Rob F. Van der Wijngaart, Timothy G. Mattson, Theodore E. Kubaska:
Programming many-core architectures - a case study: dense matrix computations on the Intel single-chip cloud computer processor. Concurr. Comput. Pract. Exp. 24(12): 1317-1333 (2012) - [j39]Francisco D. Igual, Ernie Chan, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Robert A. van de Geijn, Field G. Van Zee:
The FLAME approach: From dense linear algebra algorithms to high-performance multi-accelerator implementations. J. Parallel Distributed Comput. 72(9): 1134-1143 (2012) - [j38]Ardavan Pedram, Robert A. van de Geijn, Andreas Gerstlauer:
Codesign Tradeoffs for High-Performance, Low-Power Linear Algebra Architectures. IEEE Trans. Computers 61(12): 1724-1736 (2012) - [j37]Gregorio Quintana-Ortí, Francisco D. Igual, Mercedes Marqués, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
A Runtime System for Programming Out-of-Core Matrix Algorithms-by-Tiles on Multithreaded Architectures. ACM Trans. Math. Softw. 38(4): 25:1-25:25 (2012) - [j36]Field G. Van Zee, Robert A. van de Geijn, Gregorio Quintana-Ortí, G. Joseph Elizondo:
Families of Algorithms for Reducing a Matrix to Condensed Form. ACM Trans. Math. Softw. 39(1): 2:1-2:32 (2012) - [c55]Ardavan Pedram, Syed Zohaib Gilani, Nam Sung Kim, Robert A. van de Geijn, Michael J. Schulte, Andreas Gerstlauer:
A Linear Algebra Core Design for Efficient Level-3 BLAS. ASAP 2012: 149-152 - [c54]Bryan Marker, Andy Terrel, Jack Poulson, Don S. Batory, Robert A. van de Geijn:
Mechanizing the expert dense linear algebra developer. PPoPP 2012: 289-290 - [c53]Ardavan Pedram, Andreas Gerstlauer, Robert A. van de Geijn:
On the Efficiency of Register File versus Broadcast Interconnect for Collective Communications in Data-Parallel Hardware Accelerators. SBAC-PAD 2012: 19-26 - [c52]Murtaza Ali, Eric Stotzer, Francisco D. Igual, Robert A. van de Geijn:
Level-3 BLAS on the TI C6678 Multi-core DSP. SBAC-PAD 2012: 179-186 - [c51]Francisco D. Igual, Murtaza Ali, Arnon Friedmann, Eric Stotzer, Timothy Wentz, Robert A. van de Geijn:
Unleashing the high-performance and low-power of multi-core DSPs for general-purpose HPC. SC 2012: 26 - [c50]Bryan Marker, Jack Poulson, Don S. Batory, Robert A. van de Geijn:
Designing Linear Algebra Algorithms by Transformation: Mechanizing the Expert Developer. VECPAR 2012: 362-378 - [p1]Victor Eijkhout, Robert A. van de Geijn:
The Spike Factorization as Domain Decomposition Method; Equivalent and Variant Approaches. High-Performance Scientific Computing 2012: 157-169 - 2011
- [j35]Paolo Bientinesi, Robert A. van de Geijn:
Goal-Oriented and Modular Stability Analysis. SIAM J. Matrix Anal. Appl. 32(1): 286-308 (2011) - [j34]Mercedes Marqués, Gregorio Quintana-Ortí, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Using desktop computers to solve large-scale dense linear algebra problems. J. Supercomput. 58(2): 145-150 (2011) - [j33]Robert A. van de Geijn, Field G. Van Zee:
High-performance up-and-downdating via householder-like transformations. ACM Trans. Math. Softw. 38(1): 4:1-4:17 (2011) - [c49]Ardavan Pedram, Andreas Gerstlauer, Robert A. van de Geijn:
A high-performance, low-power linear algebra core. ASAP 2011: 35-42 - [c48]Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Bryan Marker, Rafael Mayo, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Power-aware Dense Linear Algebra Implementations on Multi-core and Many-core Processors. MARC Symposium 2011: 103-106 - [r6]Jesper Larsson Träff, Robert A. van de Geijn:
Allgather. Encyclopedia of Parallel Computing 2011: 39-42 - [r5]Jesper Larsson Träff, Robert A. van de Geijn:
All-to-All. Encyclopedia of Parallel Computing 2011: 42-47 - [r4]Robert A. van de Geijn, Kazushige Goto:
BLAS (Basic Linear Algebra Subprograms). Encyclopedia of Parallel Computing 2011: 157-164 - [r3]Jesper Larsson Träff, Robert A. van de Geijn:
Broadcast. Encyclopedia of Parallel Computing 2011: 186-192 - [r2]Robert A. van de Geijn, Jesper Larsson Träff:
Collective Communication. Encyclopedia of Parallel Computing 2011: 318-327 - [r1]Field G. Van Zee, Ernie Chan, Robert A. van de Geijn:
libflame. Encyclopedia of Parallel Computing 2011: 1010-1014 - 2010
- [c47]Manuel Fogué, Francisco D. Igual, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Retargeting PLAPACK to clusters with hardware accelerators. HPCS 2010: 444-451 - [c46]Ernie Chan, Robert A. van de Geijn, Field G. Van Zee, Jim Nagle:
Transforming linear algebra libraries: From abstraction to parallelism. IPDPS Workshops 2010: 1-8 - [c45]Ernie Chan, Robert A. van de Geijn, Andrew Chapman:
Managing the complexity of lookahead for LU factorization with pivoting. SPAA 2010: 200-208 - [c44]Victor Eijkhout, Paolo Bientinesi, Robert A. van de Geijn:
Towards mechanical derivation of Krylov solver libraries. ICCS 2010: 1805-1813
2000 – 2009
- 2009
- [j32]Field G. Van Zee, Ernie Chan, Robert A. van de Geijn, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí:
The libflame Library for Dense Matrix Computations. Comput. Sci. Eng. 11(6): 56-63 (2009) - [j31]Maribel Castillo, Francisco D. Igual, Mercedes Marqués, Rafael Mayo, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Rafael Rubio, Robert A. van de Geijn:
Out-of-core solution of linear systems on graphics processors. Int. J. Parallel Emergent Distributed Syst. 24(6): 521-538 (2009) - [j30]Gregorio Quintana-Ortí, Enrique S. Quintana-Ortí, Robert A. van de Geijn, Field G. Van Zee, Ernie Chan:
Programming matrix algorithms-by-blocks for thread-level parallelism. ACM Trans. Math. Softw. 36(3): 14:1-14:26 (2009) - [c43]Mercedes Marqués, Gregorio Quintana-Ortí, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Out-of-Core Computation of the QR Factorization on Multi-core Processors. Euro-Par 2009: 809-820 - [c42]Mercedes Marqués, Gregorio Quintana-Ortí, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Solving "large" dense matrix problems on multi-core processors. IPDPS 2009: 1-8 - [c41]Mercedes Marqués, Gregorio Quintana-Ortí, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Using Graphics Processors to Accelerate the Solution of Out-of-Core Linear Systems. ISPDC 2009: 169-176 - [c40]Gregorio Quintana-Ortí, Francisco D. Igual, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Solving dense linear systems on platforms with multiple hardware accelerators. PPoPP 2009: 121-130 - 2008
- [j29]Field G. Van Zee, Paolo Bientinesi, Tze Meng Low, Robert A. van de Geijn:
Scalable parallelization of FLAME code via the workqueuing model. ACM Trans. Math. Softw. 34(2): 10:1-10:29 (2008) - [j28]Kazushige Goto, Robert A. van de Geijn:
Anatomy of high-performance matrix multiplication. ACM Trans. Math. Softw. 34(3): 12:1-12:25 (2008) - [j27]Paolo Bientinesi, Brian C. Gunter, Robert A. van de Geijn:
Families of algorithms related to the inversion of a Symmetric Positive Definite matrix. ACM Trans. Math. Softw. 35(1): 3:1-3:22 (2008) - [j26]Kazushige Goto, Robert A. van de Geijn:
High-performance implementation of the level-3 BLAS. ACM Trans. Math. Softw. 35(1): 4:1-4:14 (2008) - [j25]Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Updating an LU Factorization with Pivoting. ACM Trans. Math. Softw. 35(2): 11:1-11:16 (2008) - [c39]Gregorio Quintana-Ortí, Enrique S. Quintana-Ortí, Ernie Chan, Robert A. van de Geijn, Field G. Van Zee:
Design of scalable dense linear algebra libraries for multithreaded architectures: the LU factorization. IPDPS 2008: 1-8 - [c38]Gregorio Quintana-Ortí, Enrique S. Quintana-Ortí, Ernie Chan, Robert A. van de Geijn, Field G. Van Zee:
Scheduling of QR Factorization Algorithms on SMP and Multi-Core Architectures. PDP 2008: 301-310 - [c37]Jeffrey R. Diamond, Behnam Robatmili, Stephen W. Keckler, Robert A. van de Geijn, Kazushige Goto, Doug Burger:
High performance dense linear algebra on a spatially distributed processor. PPoPP 2008: 63-72 - [c36]Ernie Chan, Field G. Van Zee, Paolo Bientinesi, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Robert A. van de Geijn:
SuperMatrix: a multithreaded runtime scheduling system for algorithms-by-blocks. PPoPP 2008: 123-132 - [c35]Gregorio Quintana-Ortí, Enrique S. Quintana-Ortí, Alfredo Remón, Robert A. van de Geijn:
An Algorithm-by-Blocks for SuperMatrix Band Cholesky Factorization. VECPAR 2008: 228-239 - 2007
- [j24]Ernie Chan, Marcel Heimlich, Avi Purkayastha, Robert A. van de Geijn:
Collective communication: theory, practice, and experience. Concurr. Comput. Pract. Exp. 19(13): 1749-1783 (2007) - [c34]Ernie Chan, Field G. Van Zee, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Robert A. van de Geijn:
Satisfying your dependencies with SuperMatrix. CLUSTER 2007: 91-99 - [c33]Robert A. van de Geijn:
The science of programming dense linear algebra libraries. CLUSTER 2007 - [c32]Bryan Marker, Field G. Van Zee, Kazushige Goto, Gregorio Quintana-Ortí, Robert A. van de Geijn:
Toward Scalable Matrix Multiply on Multithreaded Architectures. Euro-Par 2007: 748-757 - [c31]Ernie Chan, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Robert A. van de Geijn:
Supermatrix out-of-order scheduling of matrix operations for SMP and multi-core architectures. SPAA 2007: 116-125 - 2006
- [j23]Thierry Joffrain, Tze Meng Low, Enrique S. Quintana-Ortí, Robert A. van de Geijn, Field G. Van Zee:
Accumulating Householder transformations, revisited. ACM Trans. Math. Softw. 32(2): 169-179 (2006) - [j22]Gregorio Quintana-Ortí, Robert A. van de Geijn:
Improving the performance of reduction to Hessenberg form. ACM Trans. Math. Softw. 32(2): 180-194 (2006) - [c30]Ernie Chan, Robert A. van de Geijn, William Gropp, Rajeev Thakur:
Collective communication on architectures that support simultaneous communication over multiple links. PPoPP 2006: 2-11 - 2005
- [j21]Paolo Bientinesi, Inderjit S. Dhillon, Robert A. van de Geijn:
A Parallel Eigensolver for Dense Symmetric Matrices Based on Multiple Relatively Robust Representations. SIAM J. Sci. Comput. 27(1): 43-66 (2005) - [j20]Paolo Bientinesi, John A. Gunnels, Margaret E. Myers, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
The science of deriving dense linear algebra algorithms. ACM Trans. Math. Softw. 31(1): 1-26 (2005) - [j19]Paolo Bientinesi, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Representing linear algebra algorithms in code: the FLAME application program interfaces. ACM Trans. Math. Softw. 31(1): 27-59 (2005) - [j18]Brian C. Gunter, Robert A. van de Geijn:
Parallel out-of-core computation and updating of the QR factorization. ACM Trans. Math. Softw. 31(1): 60-78 (2005) - [c29]Tze Meng Low, Robert A. van de Geijn, Field G. Van Zee:
Extracting SMP parallelism for dense linear algebra algorithms from high-level specifications. PPoPP 2005: 153-163 - 2004
- [c28]Ernie W. Chan, Marcel F. Heimlich, Avi Purkayastha, Robert A. van de Geijn:
On optimizing collective communication. CLUSTER 2004: 145-155 - [c27]Ernie W. Chan, Marcel F. Heimlich, Avi Purkayastha, Robert A. van de Geijn:
Attaining higher performance in collective communication. CLUSTER 2004: 484 - [c26]John A. Gunnels, Fred G. Gustavson, Greg Henry, Robert A. van de Geijn:
A Family of High-Performance Matrix Multiplication Algorithms. PARA 2004: 256-265 - [c25]Paolo Bientinesi, John A. Gunnels, Fred G. Gustavson, Greg Henry, Margaret E. Myers, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Rapid Development of High-Performance Linear Algebra Libraries. PARA 2004: 376-384 - [c24]Paolo Bientinesi, Sergey Kolos, Robert A. van de Geijn:
Automatic Derivation of Linear Algebra Algorithms with Application to Control Theory. PARA 2004: 385-394 - [c23]Thierry Joffrain, Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Rapid Development of High-Performance Out-of-Core Solvers. PARA 2004: 413-422 - 2003
- [j17]Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Formal derivation of algorithms: The triangular sylvester equation. ACM Trans. Math. Softw. 29(2): 218-243 (2003) - 2002
- [c22]Thuan D. Cao, John F. Hall, Robert A. van de Geijn:
Parallel Cholesky Factorization of a Block Tridiagonal Matrix. ICPP Workshops 2002: 327-335 - 2001
- [j16]Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Specialized Parallel Algorithms for Solving Lyapunov and Stein Equations. J. Parallel Distributed Comput. 61(10): 1489-1504 (2001) - [j15]Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Xiaobai Sun, Robert A. van de Geijn:
A Note On Parallel Matrix Inversion. SIAM J. Sci. Comput. 22(5): 1762-1771 (2001) - [j14]John A. Gunnels, Fred G. Gustavson, Greg Henry, Robert A. van de Geijn:
FLAME: Formal Linear Algebra Methods Environment. ACM Trans. Math. Softw. 27(4): 422-455 (2001) - [c21]John A. Gunnels, Robert A. van de Geijn, Daniel S. Katz, Enrique S. Quintana-Ortí:
Fault-Tolerant High-Performance Matrix Multiplication: Theory and Practice. DSN 2001: 47-56 - [c20]John A. Gunnels, Greg Henry, Robert A. van de Geijn:
A Family of High-Performance Matrix Multiplication Algorithms. International Conference on Computational Science (1) 2001: 51-60 - [c19]Brian C. Gunter, Wesley C. Reiley, Robert A. van de Geijn:
Parallel Out-of-Core Cholesky and QR Factorization with POOCLAPACK. IPDPS 2001: 179 - 2000
- [c18]John A. Gunnels, Robert A. van de Geijn:
Formal Methods for High-Performance Linear Algebra Libraries. The Architecture of Scientific Software 2000: 193-210
1990 – 1999
- 1999
- [c17]James Overfelt, Yuhong Fu, Gregory J. Rodin, Robert A. van de Geijn:
Application Driven Fast Summation Methods. PPSC 1999 - [c16]Enrique S. Quintana-Ortí, Robert A. van de Geijn:
Fast Parallel Kernels for Selected Problems in Control Theory. PPSC 1999 - 1998
- [c15]Gregory S. Baker, John A. Gunnels, Greg Morrow, Beatrice Riviere, Robert A. van de Geijn:
PLAPACK: High Performance through High-Level Abstraction. ICPP 1998: 414-423 - [c14]John A. Gunnels, Calvin Lin, Greg Morrow, Robert A. van de Geijn:
A Flexible Class of Parallel Matrix Multiplication Algorithms. IPPS/SPDP 1998: 110-116 - [c13]Greg Morrow, Robert A. van de Geijn:
A Parallel Linear Algebra Server for Matlab-like Environments. SC 1998: 13 - 1997
- [b1]Robert A. van de Geijn:
Using PLAPACK - parallel linear algebra package. MIT Press 1997, ISBN 978-0-262-72026-7, pp. I-XVII, 1-194 - [j13]Robert A. van de Geijn,