research
∙
09/11/2023
SPEChpc 2021 Benchmarks on Ice Lake and Sapphire Rapids Infiniband Clusters: A Performance and Energy Case Study
In this work, fundamental performance, power, and energy characteristics...
share
research
∙
09/05/2023
Algebraic Temporal Blocking for Sparse Iterative Solvers on Multi-Core CPUs
Sparse linear iterative solvers are essential for many large-scale simul...
research
∙
02/23/2023
Making Applications Faster by Asynchronous Execution: Slowing Down Processes or Relaxing MPI Collectives
Comprehending the performance bottlenecks at the core of the intricate h...
research
∙
02/22/2023
MD-Bench: Engineering the in-core performance of short-range molecular dynamics kernels from state-of-the-art simulation packages
Molecular dynamics (MD) simulations provide considerable benefits for th...
research
∙
07/26/2022
MD-Bench: A generic proxy-app toolbox for state-of-the-art molecular dynamics algorithms
Proxy-apps, or mini-apps, are simple self-contained benchmark codes with...
research
∙
05/27/2022
Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications
This paper studies the utility of using data analytics and machine learn...
research
∙
05/09/2022
The Role of Idle Waves, Desynchronization, and Bottleneck Evasion in the Performance of Parallel Programs
The performance of highly parallel applications on distributed-memory sy...
research
∙
05/03/2022
Level-based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication
The multiplication of a sparse matrix with a dense vector (SpMV) is a ke...
research
∙
04/29/2022
Analytical Performance Estimation during Code Generation on Modern GPUs
Automatic code generation is frequently used to create implementations o...
research
∙
07/02/2021
Opening the Black Box: Performance Estimation during Code Generation for GPUs
Automatic code generation is frequently used to create implementations o...
research
∙
03/04/2021
Analytic Modeling of Idle Waves in Parallel Programs: Communication, Cluster Topology, and Noise Impact
Most distributed-memory bulk-synchronous parallel programs in HPC assume...
research
∙
03/04/2021
ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX
The A64FX CPU is arguably the most powerful Arm-based processor design t...
research
∙
10/31/2020
An analytic performance model for overlapping execution of memory-bound loop kernels on multicore CPUs
Complex applications running on multicore processors show a rich perform...
research
∙
09/29/2020
Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX
The A64FX CPU powers the current number one supercomputer on the Top500 ...
research
∙
08/30/2020
K-way p-spectral clustering on Grassmann manifolds
Spectral methods have gained a lot of recent attention due to the simpli...
research
∙
02/09/2020
Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors
Hardware platforms in high performance computing are constantly getting ...
research
∙
02/07/2020
Desynchronization and Wave Pattern Formation in MPI-Parallel and Hybrid Memory-Bound Programs
Analytic, first-principles performance modeling of distributed-memory pa...
research
∙
10/01/2019
Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels
Useful models of loop kernel runtimes on out-of-order architectures requ...
research
∙
07/15/2019
A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication
The symmetric sparse matrix-vector multiplication (SymmSpMV) is an impor...
research
∙
07/01/2019
Bridging the Architecture Gap: Abstracting Performance-Relevant Properties of Modern Server Processors
We describe a universal modeling approach for predicting single- and mul...
research
∙
06/19/2019
Collecting and Presenting Reproducible Intranode Stencil Performance: INSPECT
Stencil algorithms have been receiving considerable interest in HPC rese...
research
∙
05/25/2019
Propagation and Decay of Injected One-Off Delays on Clusters: A Case Study
Analytic, first-principles performance modeling of distributed-memory ap...
research
∙
05/25/2019
Delay Propagation and Overlapping Mechanisms on Clusters: A Case Study of Idle Periods based on Workload, Communication, and Delay Granularity
Analytic, first-principles performance modeling of distributed-memory ap...
research
∙
05/08/2019
Performance Engineering for Real and Complex Tall Skinny Matrix Multiplication Kernels on GPUs
General matrix-matrix multiplications with double-precision real and com...
research
∙
05/08/2019
Performance Engineering for a Tall Skinny Matrix Multiplication Kernel on GPUs
General matrix-matrix multiplications (GEMM) in vendor-supplied BLAS lib...
research
∙
01/16/2019
Analytic Performance Modeling and Analysis of Detailed Neuron Simulations
Big science initiatives are trying to reconstruct and model the brain by...
research
∙
09/04/2018
Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures
An accurate prediction of scheduling and execution of instruction stream...
research
∙
03/06/2018
Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs
Chebyshev filter diagonalization is well established in quantum chemistr...
research
∙
11/30/2017
Lattice Boltzmann Benchmark Kernels as a Testbed for Performance Analysis
Lattice Boltzmann methods (LBM) are an important part of current computa...
research
∙
10/11/2017
Validation of hardware events for successful performance pattern identification in High Performance Computing
Hardware performance monitoring (HPM) is a crucial ingredient of perform...
research
∙
02/24/2017
An analysis of core- and chip-level architectural features in four generations of Intel server processors
This paper presents a survey of architectural features among four genera...
research
∙
01/13/2017
Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels
Achieving optimal program performance requires deep insight into the int...
research
∙
12/17/2013
Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator
We examine the Xeon Phi, which is based on Intel's Many Integrated Cores...
research
∙
07/23/2013
A unified sparse matrix data format for efficient general sparse matrix-vector multiply on modern processors with wide SIMD units
Sparse matrix-vector multiplication (spMVM) is the most time-consuming k...
research
∙
12/23/2011