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A Comparison of Spectral and Spatial Graph Convolutional Neural Network Kernels Using GraphSAGE-Sparse
Michael Eydenberg, Mark Plagge, Sivasankaran Rajamanickam
An Experimental Study of Two-level Schwarz Domain-Decomposition Preconditioners on GPUs
Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam
High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges
Ichitaro Yamazaki, Christian Glusa, Jennifer Loe, Piotr Luszczek, Sivasankaran Rajamanickam, Jack Dongarra
Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening
Brian Kelley, Sivasankaran Rajamanickam
Understanding the design-space of sparse/dense multiphase GNN dataflows on spatial accelerators
Raveesh Garg, Eric Qin, Francisco Munoz-Martinez, Robert Guirado, Akshay Jain, Sergi Abadal, Jose Abellan, Manuel Acacio, Eduard Alarcon, Sivasankaran Rajamanickam, Tushar Krishna
Concentric Spherical Neural Network for 3D Representation Learning
James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
Experimental evaluation of multiprecision strategies for GMRES on GPUs
Jennifer A Loe, Christian A Glusa, Ichitaro Yamazaki, Erik G Boman, Sivasankaran Rajamanickam
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon E Moon, Sivasankaran Rajamanickam, Tushar Krishna
Performance-portable graph coarsening for efficient multilevel graph analysis
Michael S Gilbert, Seher Acer, Erik G Boman, Kamesh Madduri, Sivasankaran Rajamanickam
Union: A unified HW-SW Co-Design ecosystem in MLIR for evaluating tensor operations on spatial accelerators
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
A Performance-Portable Nonhydrostatic Atmospheric Dycore for the Energy Exascale Earth System Model Running at Cloud-Resolving Resolutions.
Luca Bertagna, Oksana Guba, Mark A Taylor, James G Foucar, Jeff Larkin, Andrew M Bradley, Sivasankaran Rajamanickam, Andrew G Salinger
ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems.
Vinh Q Dang, Joseph D Kotulski, Sivasankaran Rajamanickam
Distributed Memory Graph Coloring Algorithms for Multiple GPUs
Ian Bogle, Erik G Boman, Karen Devine, Sivasankaran Rajamanickam, George M Slota
Performance portable supernode-based sparse triangular solver for manycore architectures
Ichitaro Yamazaki, Sivasankaran Rajamanickam, Nathan Ellingwood
SPHYNX: Spectral Partitioning for HYbrid aNd aXelerator-enabled systems
Seher Acer, Erik G Boman, Sivasankaran Rajamanickam
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations
Ian Bogle, Karen Devine, Mauro Perego, Sivasankaran Rajamanickam, George M Slota
A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures
Damodar Sahasrabudhe, Eric T Phipps, Sivasankaran Rajamanickam, Martin Berzins
Linear algebra-based triangle counting via fine-grained tasking on heterogeneous environments:(Update on static graph challenge)
Abdurrahman Yaşar, Sivasankaran Rajamanickam, Jonathan Berry, Michael Wolf, Jeffrey S Young, Ümit V Catalyürek
Scalable generation of graphs for benchmarking HPC community-detection algorithms
George M Slota, Jonathan W Berry, Simon D Hammond, Stephen L Olivier, Cynthia A Phillips, Sivasankaran Rajamanickam
Scalable inference for sparse deep neural networks using Kokkos kernels
J Austin Ellis, Sivasankaran Rajamanickam
Scalable triangle counting on distributed-memory systems
Seher Acer, Abdurrahman Yaşar, Sivasankaran Rajamanickam, Michael Wolf, Ümit V Catalyürek
Asynchronous one-level and two-level domain decomposition solvers
Christian Glusa, Erik G Boman, Edmond Chow, Sivasankaran Rajamanickam, Paritosh Ramanan
Experimental design of work chunking for graph algorithms on high bandwidth memory architectures
George M Slota, Siva Rajamanickam
Fast triangle counting using cilk
Abdurrahman Yaşar, Sivasankaran Rajamanickam, Michael Wolf, Jonathan Berry, Ümit V Catalyürek
FROSch: a fast and robust overlapping Schwarz domain decomposition preconditioner based on Xpetra in Trilinos
Alexander Heinlein, Axel Klawonn, Sivasankaran Rajamanickam, Oliver Rheinbach
Tacho: memory-scalable task parallel sparse Cholesky factorization
Kyungjoo Kim, H Carter Edwards, Sivasankaran Rajamanickam
Designing vector-friendly compact BLAS and LAPACK kernels
Kyungjoo Kim, Timothy B Costa, Mehmet Deveci, Andrew M Bradley, Simon D Hammond, Murat E Guney, Sarah Knepper, Shane Story, Sivasankaran Rajamanickam
Fast linear algebra-based triangle counting with kokkoskernels
Michael M Wolf, Mehmet Deveci, Jonathan W Berry, Simon D Hammond, Sivasankaran Rajamanickam
Order or shuffle: Empirically evaluating vertex order impact on parallel graph computations
George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri
Partitioning trillion-edge graphs in minutes
George M Slota, Sivasankaran Rajamanickam, Karen Devine, Kamesh Madduri
Performance-portable sparse matrix-matrix multiplication for many-core architectures
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
A case study of complex graph analysis in distributed memory: Implementation and optimization
George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri
A comparison of high-level programming choices for incomplete sparse factorization across different architectures
Joshua Dennis Booth, Kyungjoo Kim, Sivasankaran Rajamanickam
Basker: a threaded sparse lu factorization utilizing hierarchical parallelism and data layouts
Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi Thornquist
Parallel graph coloring for manycore architectures
Mehmet Deveci, Erik G Boman, Karen D Devine, Sivasankaran Rajamanickam
High-performance graph analytics on manycore processors
George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri
Building blocks for graph based network analysis
Vladimir Ufimtsev, Sanjukta Bhowmick, Sivasankaran Rajamanickam
A hybrid approach for parallel transistor-level full-chip circuit simulation
Heidi K Thornquist, Sivasankaran Rajamanickam
BFS and coloring-based parallel algorithms for strongly connected components and related problems
George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri
Domain decomposition preconditioners for communication-avoiding Krylov methods on a hybrid CPU/GPU cluster
Ichitaro Yamazaki, Sivasankaran Rajamanickam, Erik G Boman, Mark Hoemmen, Michael A Heroux, Stanimire Tomov
Exploiting geometric partitioning in task mapping for parallel computers
Mehmet Deveci, Sivasankaran Rajamanickam, Vitus J Leung, Kevin Pedretti, Stephen L Olivier, David P Bunde, Ümit V Catalyürek, Karen Devine
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks
George M Slota, Kamesh Madduri, Sivasankaran Rajamanickam
Towards extreme-scale simulations with next-generation Trilinos: a low Mach fluid application case study
Paul Lin, Matthew Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan Hu, Eric Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher Siefert, others
Scalable matrix computations on large scale-free graphs using 2D graph partitioning
Erik G Boman, Karen D Devine, Sivasankaran Rajamanickam
Multithreaded Algorithms for Maximum Matching in Bipartite Graphs
Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G Boman, Arif Khan, Alex Pothen
ShyLU: A Hybrid-Hybrid Solver for Multicore Platforms
Sivasankaran Rajamanickam, Erik Boman, Michael Heroux
A study of combinatorial issues in a sparse hybrid solver
Erik Boman, Sivasankaran Rajamanickam
An Evaluation of the Zoltan Parallel Graph and Hypergraph Partitioners.
Sivasankaran Rajamanickam, Erik G Boman
Enabling next-generation parallel circuit simulation with Trilinos
Chris Baker, Erik Boman, Mike Heroux, Eric Keiter, Siva Rajamanickam, Rich Schiek, Heidi Thornquist