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Andreas Sandberg

Researcher at Uppsala University

Publications -  32
Citations -  333

Andreas Sandberg is an academic researcher from Uppsala University. The author has contributed to research in topics: Cache & Cache pollution. The author has an hindex of 8, co-authored 30 publications receiving 218 citations.

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The gem5 Simulator: Version 20.0+

Jason Lowe-Power, +78 more
TL;DR: How the gem5 simulator has transitioned to a formal governance model to enable continued improvement and community support for the next 20 years of computer architecture research is discussed.
Proceedings ArticleDOI

Reducing Cache Pollution Through Detection and Elimination of Non-Temporal Memory Accesses

TL;DR: A classification of applications into four cache usage categories is introduced and how applications from different categories affect each other's performance indirectly through cache sharing is discussed and a scheme to optimize such sharing is devised.
Proceedings ArticleDOI

Full Speed Ahead: Detailed Architectural Simulation at Near-Native Speed

TL;DR: A parallel sampling simulator is demonstrated that can be used to accurately estimate the IPC of standard workloads with an average error, and a novel approach is developed to estimate the error introduced by limited cache warming, through the use of optimistic and pessimistic warming simulations.
Proceedings ArticleDOI

Modeling performance variation due to cache sharing

TL;DR: This paper introduces a method for efficiently investigating the performance variability due to cache contention that can estimate an application pair's performance variation 213× faster, on average, than native execution and can predict application slowdown with an average relative error.
Proceedings ArticleDOI

BRB: Mitigating Branch Predictor Side-Channels.

TL;DR: The branch retention buffer is introduced, a novel mechanism that partitions only the most useful branch predictor components to isolate separate contexts and shows that, compared to the state-of-the-art, average misprediction rates are reduced by 15-20% without increasing area, leading to a 2% performance increase.