OUR RESOURCES
READING WHAT’S BEHIND

Case Studies

Case Study - Denso
Migrating existing automotive control software to multicore ECUs
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Case Study - Huawei
Using Silexica's tools to accurately estimate power efficiency gains of new technologies
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Case Study - Ricoh
Using SLX to discover and exploit hidden parallelism in the OpenCV computer vision library
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Product Briefs

SLX FPGA 19.2 small-resources
SLX CC++ 19.2 small-resources
SLX FPGA

Optimized Execution on FPGAS: Accelerating the journey from C/C++ to Hardware

SLX C/ C++

Execution Behavior Analytics: Deep Mastery of Concurrent Software 

Whitepapers, Technical Articles & Others

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White paper - Accelerating Financial Applications With SLX FPGA

In this paper, two implementations of computation intensive models for pricing options are discussed, namely the Black-Scholes and Heston pricing models. This white paper demonstrates how engineers creating FPGA-based hardware accelerators for financial market models can take advantage of SLX FPGA.

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White paper - Using SLX FPGA for performance optimization of SHA-3 for HLS

Can an HLS optimization tool outperform expert-level hand-optimizations? This white paper examines how SLX FPGA is used to optimize a secure hash algorithm.

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White paper - Facilitating High Level Synthesis from MATLAB generated C/C++

A use case for HLS is taking 3rd party generated or legacy C/C++ algorithms and converting the algorithm to a hardware implementation using an HLS compiler.

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ARTICLE - SILEXICA’S HARDWARE/SOFTWARE CO-DESIGN

The Linley Group’s Microprocessor Report takes an in-depth look into the features of SLX

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White paper - Optimizing Deep-Learning Inference for Embedded Devices

This white paper highlights how different challenges related to the deployment (inference) of artificial neural networks (ANNs) on embedded devices can be addressed.

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White paper - SLX Multi-Objective Optimization (MOPT)

Simultaneous optimization to improve power and performance with SLX

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White paper – Pushing Performance: Analysis and Optimization of Multicore Communication with SLX

How SLX can predict performances, manage communication contention and automatically map tasks to get the best out of your multicore platform.

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White paper – Improving Execution Predictability on Linux with SLX

Assessing the impact of deterministic programming models on predictability of test results

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White paper – Multicore Software Design for an LTE Base Station

Using SLX for Multicore Software Design of an LTE Base Station

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Article – Kahn Process Network

Parallel Programming Without Races and Non-Determinism

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ARTICLE - SILEXICA: MASTERING MULTICORE

Paul McLellan meets our US team and takes an in-depth look at SLX where he compares manual with automated code analysis

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Videos

SLX FPGA Demo at XDF 2019 - Optimizing Financial Algorithms for HLS with SLX FPGA
Mastering Automotive Software Development
Silexica AMALTHEA
EQT Ventures' investment in Silexica
Silexica at Embedded World 2018 - the challenges faced programming the next generation of supercomputers

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