Výsledky vyhledávání - Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Processor Architectures

A NOVEL FLEXIBLE ON-CHIP SWITCH ARCHITECTURE FOR RECONFIGURABLE HARDWARE ACCELERATORS ; YENİDEN YAPILANDIRILABİLİR DONANIM HIZLANDIRICILAR İÇİN YENİ ESNEK BİR YONGA ÜSTÜ ANAHTAR MİMARİSİ

Autoři: Yazıcı, Fatih Schmidt, Şenan Ece Department of Electrical and Electronics Engineering

Přispěvatelé: Yazıcı, Fatih Schmidt, Şenan Ece Department of Electrical and Electronics Engineering

Témata: on-chip switch, switch fabric arbitration, dynamic buffer management, hardware accelerated cloud data center, partial reconfiguration, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Networks::Communications and Network Protocols, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Networks::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Processor Architectures, Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Logic Design, Arbis Subjects::Engineering and Technology::Computer Sciences::Other

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/91660

Dostupnost: https://hdl.handle.net/11511/91660

DynapSIM: A Fast, Optimizable, and Mismatch Aware Mixed-Signal Neuromorphic Chip Simulator ; DynapSIM: Hızlı, Optimize Edilebilir ve Uyuşmazlık Duyarlı Karma Sinyalli Nöromorfik Çip Simülatörü

Autoři: Çakal, Uğurcan Ulusoy, İlkay Muir, Dylan Richard a další

Přispěvatelé: Çakal, Uğurcan Ulusoy, İlkay Muir, Dylan Richard a další

Témata: Mixed-Signal, Chip Simulation, Dynap-SE1, Dynap-SE2, Neuromorphic Computing, Neuromorphic Hardware, Non-Von-Neumann Computing, Silicon Brain, Spiking Neural Networks, Arbis Subjects::Engineering and Technology::Computer Sciences::Algorithms::Computational Model, Arbis Subjects::Engineering and Technology::Computer Sciences::Algorithms::Simulation and Modelling, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Uncertainity Management, Arbis Subjects::Natural Sciences::Life Sciences::Neurobiology::Numerical Neuroscience, Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Application Based Architecture, Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Integrated Circuits, Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Network Architecture, Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Processor Architectures, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Electronic::Electronic Circuits

Popis souboru: 132 pages; application/pdf

Relation: https://hdl.handle.net/11511/98616

Dostupnost: https://hdl.handle.net/11511/98616

INVESTIGATION OF NEW ARCHITECTURAL FEATURES TO SUPPORT PERFORMANCE IMPROVEMENT IN EMBEDDED PROCESSORS ; GÖMÜLÜ İŞLEMCİLERDE PERFORMANS İYİLEŞTİRMELERİNİ DESTEKLEMEK ÜZERE YENİ MİMARİ ÖZELLİKLERİN ARAŞTIRILMASI

Autoři: Othman, Ahmad Fahrioğlu, Murat Yemişcioğlu, Gürtaç a další

Přispěvatelé: Othman, Ahmad Fahrioğlu, Murat Yemişcioğlu, Gürtaç a další

Témata: Processor performance, Macro-op fusion, Micro-op fusion, Integer benchmarks, Embedded systems, Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Processor Architectures, Arbis Subjects::Engineering and Technology::Computer Sciences::Equipment::Logic Design

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/101339

Dostupnost: https://hdl.handle.net/11511/101339