activity
20152019
most citedAutomated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures

36 citations · 108 across the 5 of their papers we have counts for

collaborators

5 papers

cs.PF2019★ 20 cited

Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels

Jan Laukemann, Julian Hammer, Georg Hager +1

Useful models of loop kernel runtimes on out-of-order architectures require an analysis of the in-core performance behavior of instructions and their dependencies. While an instruc…

cs.PF2019★ 1 cited

Collecting and Presenting Reproducible Intranode Stencil Performance: INSPECT

Julian Hornich, Julian Hammer, Georg Hager +2

Stencil algorithms have been receiving considerable interest in HPC research for decades. The techniques used to approach multi-core stencil performance modeling and engineering sp…

cs.PF2018★ 36 cited

Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures

Jan Laukemann, Julian Hammer, Johannes Hofmann +2

An accurate prediction of scheduling and execution of instruction streams is a necessary prerequisite for predicting the in-core performance behavior of throughput-bound loop kerne…

cs.PF2017★ 30 cited

Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels

Julian Hammer, Jan Eitzinger, Georg Hager +1

Achieving optimal program performance requires deep insight into the interaction between hardware and software. For software developers without an in-depth background in computer a…

cs.PF2015★ 21 cited

Automatic Loop Kernel Analysis and Performance Modeling With Kerncraft

Julian Hammer, Georg Hager, Jan Eitzinger +1

Analytic performance models are essential for understanding the performance characteristics of loop kernels, which consume a major part of CPU cycles in computational science. Star…