A framework and method for the run-time on-chip synthesis of multi-mode self-organized reconfigurable stream processors
Notice bibliographique
Résumé
A number of modern digital processing systems implement complex multi-mode applications with high performance requirements and strict operating constraints; examples include video processing and telecommunication applications. A number of these systems use increasingly large FPGAs as the implementation medium, due to reduced development costs. The combination of increases in FPGA capacity and system complexity has lead to a non-linear increase in system implementation effort. If left unchecked, implementation effort for such systems will reach the point where it becomes a design and development bottleneck. At the same time, the reduction in transistor size used to manufacture these devices can lead to increased device fault rates. To address these two problems, the Multi-mode Adaptive Collaborative Reconfigurable self-Organized System (MACROS) Framework and design methodology is proposed and described in this work. The MACROS Framework other the ability for run-time architecture adaptation by integrating FPGA configuration into regular operation. The MACROS Framework allows for run-time generation of Application-Specific Processors (ASPs) through the deployment, assembly and integration of pre-built functional units; the framework further allows the relocation of functional units without affecting system functionality. The use of functional units as building blocks allows the system to be implemented on a piece-by-piece basis, which reduces the complexity of mapping, placement and routing tasks; the ability to relocate functional units allows fault mitigation by avoiding faulty regions in a device. The proposed framework has been used to implement multiple video processing systems which were used as verification and testing instruments. The MACROS framework was found to successfully support run-time architecture adaptation in the form of functional unit deployment and relocation in high performance systems. For large systems (more than 100 functional units), the MACROS Framework implementation effort, measured as time cost, was found to be one third that of a traditional (monolithic) system; more importantly, in MACRO Systems this time cost was found to increase linearly with system complexity (the number of functional units). When considering fault mitigation capabilities, the resource overhead associated with the MACROS Framework was found to be up to 85 % smaller than a traditional Triple Module Redundancy (TMR) solution.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».