activity
20192024
most citedA Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication

132 citations · 238 across the 10 of their papers we have counts for

collaborators

10 papers

cs.DC2024

Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels

Dane C. Lacey, Christie L. Alappat, Florian Lange +3

Sparse matrix-vector products (SpMVs) are a bottleneck in many scientific codes. Due to the heavy strain on the main memory interface from loading the sparse matrix and the possibl…

cs.CE2024

Code Generation and Performance Engineering for Matrix-Free Finite Element Methods on Hybrid Tetrahedral Grids

Fabian Böhm, Daniel Bauer, Nils Kohl +5

This paper introduces a code generator designed for node-level optimized, extreme-scalable, matrix-free finite element operators on hybrid tetrahedral grids. It optimizes the local…

math.NA2023★ 3 cited

Algebraic Temporal Blocking for Sparse Iterative Solvers on Multi-Core CPUs

Christie Alappat, Jonas Thies, Georg Hager +2

Sparse linear iterative solvers are essential for many large-scale simulations. Much of the runtime of these solvers is often spent in the implicit evaluation of matrix polynomials…

math.NA2022★ 15 cited

Level-based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication

Christie L. Alappat, Georg Hager, Olaf Schenk +1

The multiplication of a sparse matrix with a dense vector (SpMV) is a key component in many numerical schemes and its performance is known to be severely limited by main memory acc…

cs.PF2021★ 25 cited

ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX

Christie Alappat, Nils Meyer, Jan Laukemann +4

The A64FX CPU is arguably the most powerful Arm-based processor design to date. Although it is a traditional cache-based multicore processor, its peak performance and memory bandwi…

cs.PF2020★ 22 cited

Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX

Christie L. Alappat, Jan Laukemann, Thomas Gruber +4

The A64FX CPU powers the current number one supercomputer on the Top500 list. Although it is a traditional cache-based multicore processor, its peak performance and memory bandwidt…

cs.LG2020★ 14 cited

Multiway -spectral graph cuts on Grassmann manifolds

Dimosthenis Pasadakis, Christie Louis Alappat, Olaf Schenk +1

Nonlinear reformulations of the spectral clustering method have gained a lot of recent attention due to their increased numerical benefits and their solid mathematical background.…

cs.PF2020★ 23 cited

Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors

Christie L. Alappat, Johannes Hofmann, Georg Hager +3

Hardware platforms in high performance computing are constantly getting more complex to handle even when considering multicore CPUs alone. Numerous features and configuration optio…

cs.DC2019★ 132 cited

A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication

Christie L. Alappat, Georg Hager, Olaf Schenk +5

The symmetric sparse matrix-vector multiplication (SymmSpMV) is an important building block for many numerical linear algebra kernel operations or graph traversal applications. Par…

cs.DC2019★ 4 cited

Bridging the Architecture Gap: Abstracting Performance-Relevant Properties of Modern Server Processors

Johannes Hofmann, Christie L. Alappat, Georg Hager +2

We describe a universal modeling approach for predicting single- and multicore runtime of steady-state loops on server processors. To this end we strictly differentiate between app…