activity
20132021
most citedAutomated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures

36 citations · 149 across the 13 of their papers we have counts for

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7 papers · 1 filter

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.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.PF2018★ 13 cited

On the accuracy and usefulness of analytic energy models for contemporary multicore processors

Johannes Hofmann, Georg Hager, Dietmar Fey

This paper presents refinements to the execution-cache-memory performance model and a previously published power model for multicore processors. The combination of both enables a v…

cs.PF2017

An analysis of core- and chip-level architectural features in four generations of Intel server processors

Johannes Hofmann, Georg Hager, Gerhard Wellein +1

This paper presents a survey of architectural features among four generations of Intel server processors (Sandy Bridge, Ivy Bridge, Haswell, and Broad- well) with a focus on perfor…

cs.PF2016

An ECM-based energy-efficiency optimization approach for bandwidth-limited streaming kernels on recent Intel Xeon processors

Johannes Hofmann, Dietmar Fey

We investigate an approach that uses low-level analysis and the execution-cache-memory (ECM) performance model in combination with tuning of hardware parameters to lower energy req…

cs.PF2016★ 7 cited

Performance analysis of the Kahan-enhanced scalar product on current multi- and manycore processors

Johannes Hofmann, Dietmar Fey, Michael Riedmann +3

We investigate the performance characteristics of a numerically enhanced scalar product (dot) kernel loop that uses the Kahan algorithm to compensate for numerical errors, and desc…

cs.PF2015★ 8 cited

Performance analysis of the Kahan-enhanced scalar product on current multicore processors

Johannes Hofmann, Dietmar Fey, Jan Eitzinger +2

We investigate the performance characteristics of a numerically enhanced scalar product (dot) kernel loop that uses the Kahan algorithm to compensate for numerical errors, and desc…