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Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity
Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna
A Study of Mixed Precision Strategies for GMRES on GPUs
Jennifer A Loe, Christian A Glusa, Ichitaro Yamazaki, Erik G Boman, Sivasankaran Rajamanickam
Concentric Spherical GNN for 3D Representation Learning
James Fox, Bo Zhao, 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
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica
Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam
Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and Graph Kernels
Sivasankaran Rajamanickam, Seher Acer, Luc Berger-Vergiat, Vinh Dang, Nathan Ellingwood, Evan Harvey, Brian Kelley, Christian R Trott, Jeremiah Wilke, Ichitaro Yamazaki
A survey of numerical methods utilizing mixed precision arithmetic
Ahmad Abdelfattah, Hartwig Anzt, Erik G Boman, Erin Carson, Terry Cojean, Jack Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J Higham, Sherry Li, others
Geometric partitioning and ordering strategies for task mapping on parallel computers
Mehmet Deveci, Karen D Devine, Kevin Pedretti, Mark A Taylor, Sivasankaran Rajamanickam, Ümit V Catalyürek
Distributed graph layout for scalable small-world network analysis
George M Slota, Sivasankaran Rajamanickam, Kamesh Madduri