Publications related to Superscalar processor

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...

EPFL2023

FISHFUZZ: Catch Deeper Bugs by Throwing Larger Nets

Mathias Josef Payer, Flavio Toffalini, Han Zheng, Yuqing Zhang, Jiayuan Zhang

Fuzzers effectively explore programs to discover bugs. Greybox fuzzers mutate seed inputs and observe their execution. Whenever a seed reaches new behavior (e.g., new code or higher execution frequency), it is stored for further mutation. Greybox fuzzers d ...

Berkeley2023

Performance Estimation of High-Level Dataflow Program on Heterogeneous Platforms by Dynamic Network Execution

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

The performance of programs executed on heterogeneous parallel platforms largely depends on the design choices regarding how to partition the processing on the various different processing units. In other words, it depends on the assumptions and parameters ...

MDPI2022

Dissecting motor skill acquisition: Spatial coordinates take precedence

Friedhelm Christoph Hummel, Takuya Morishita, Pablo Maceira Elvira, Maximilian Jonas Wessel, Traian Popa, Anne-Christine Schmid

Practicing a previously unknown motor sequence often leads to the consolidation of motor chunks, which enable its accurate execution at increasing speeds. Recent imaging studies suggest the function of these structures to be more related to the encoding, s ...

AMER ASSOC ADVANCEMENT SCIENCE2022

Horizontal side-channel full key recovery on ephemeral SIKE

Natacha Yolande Emmanuel Marie Linard de Guertechin, Aymeric Genet, Novak Kaluderovic

This paper describes the first practical single-trace side-channel power analysis of SIKE. The attack exploits the nature of elliptic curve point addition formulas which require the same function to be executed multiple times. We target the three point lad ...

2021

Polynomial Evaluation on Superscalar Architecture, Applied to the Elementary Function e(x)

Felix Schürmann, Francesco Cremonesi, Timothée Ewart

The evaluation of small degree polynomials is critical for the computation of elementary functions. It has been extensively studied and is well documented. In this article, we evaluate existing methods for polynomial evaluation on superscalar architecture. ...

2020

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

Felix Schürmann, Michael Lee Hines, Bruno Ricardo Da Cunha Magalhães

State-of-the-art simulations of detailed neurons follow the Bulk Synchronous Parallel execution model. Execution is divided in equidistant communication intervals, with parallel neurons interpolation and collective communication guiding synchronization. Su ...

2020

Domain-Adaptive Multibranch Networks

Pascal Fua, Mathieu Salzmann, Róger Bermúdez Chacón

We tackle unsupervised domain adaptation by accounting for the fact that different domains may need to be processed differently to arrive to a common feature representation effective for recognition. To this end, we introduce a deep learning framework wher ...

2020

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

Anastasia Ailamaki, Periklis Chrysogelos, Panagiotis Sioulas

In order to improve their power efficiency and computational capacity, modern servers are adopting hardware accelerators, especially GPUs. Modern analytical DMBS engines have been highly optimized for multi-core multi-CPU query execution, but lack the nece ...

2019

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Superscalar processor

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

FISHFUZZ: Catch Deeper Bugs by Throwing Larger Nets

Performance Estimation of High-Level Dataflow Program on Heterogeneous Platforms by Dynamic Network Execution

Dissecting motor skill acquisition: Spatial coordinates take precedence

High-Level Synthesis of Dynamically Scheduled Circuits

Horizontal side-channel full key recovery on ephemeral SIKE

Polynomial Evaluation on Superscalar Architecture, Applied to the Elementary Function e(x)

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

Domain-Adaptive Multibranch Networks

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

Graph Chatbot

Chat with Graph Search

Dissecting motor skill acquisition: Spatial coordinates take precedence

Domain-Adaptive Multibranch Networks

Polynomial Evaluation on Superscalar Architecture, Applied to the Elementary Function e(x)

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

Performance Estimation of High-Level Dataflow Program on Heterogeneous Platforms by Dynamic Network Execution

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

FISHFUZZ: Catch Deeper Bugs by Throwing Larger Nets

High-Level Synthesis of Dynamically Scheduled Circuits