Verification of Open-Source Memory Compiler Framework with a Practical PDK

2021 ◽  
Author(s):  
Chao Geng ◽  
Daiki Ishikawa ◽  
Shoya Kudo ◽  
Shigetoshi Nakatake
Keyword(s):  
Open Source ◽  
Source Memory ◽  
Compiler Framework

scholarly journals Back-end porting of FT_MX based on LLVM compilation architecture

2021 ◽  
Vol 336 ◽  
pp. 04018
Author(s):  
Ping Deng ◽  
Xiaolong Zhu ◽  
Haiyan Sun ◽  
Yi Ren
Keyword(s):  
Open Source ◽  
High Performance ◽  
Instruction Set ◽  
University Of Illinois ◽  
Specific Process ◽  
Defense Technology ◽  
Migration Mechanism ◽  
National University ◽  
Compiler Framework ◽  
The University

The processor FT_MX is a high-performance chip independently developed by the National University of Defense Technology, with an innovative architecture and instruction set. LLVM architecture is a widely used and efficient open source compiler framework initiated by the University of Illinois. This paper introduces the basic architecture and functions of LLVM, analyzes the back-end migration mechanism of the architecture in detail, and gives the specific process of implementing FT_MX back-end migration, and realizes the support of LLVM architecture to the back-end of FT_MX processor.

scholarly journals ProjectQ: an open source software framework for quantum computing

Quantum ◽  
2018 ◽  
Vol 2 ◽  
pp. 49 ◽  
Author(s):  
Damian S. Steiger ◽  
Thomas Häner ◽  
Matthias Troyer
Keyword(s):  
Quantum Computing ◽  
Open Source ◽  
Open Source Software ◽  
High Performance ◽  
Quantum Algorithms ◽  
Cloud Service ◽  
Domain Specific Language ◽  
Resource Estimation ◽  
Domain Specific ◽  
Compiler Framework

We introduce ProjectQ, an open source software effort for quantum computing. The first release features a compiler framework capable of targeting various types of hardware, a high-performance simulator with emulation capabilities, and compiler plug-ins for circuit drawing and resource estimation. We introduce our Python-embedded domain-specific language, present the features, and provide example implementations for quantum algorithms. The framework allows testing of quantum algorithms through simulation and enables running them on actual quantum hardware using a back-end connecting to the IBM Quantum Experience cloud service. Through extension mechanisms, users can provide back-ends to further quantum hardware, and scientists working on quantum compilation can provide plug-ins for additional compilation, optimization, gate synthesis, and layout strategies.

scholarly journals Open-Source Memory Compiler for Automatic RRAM Generation and Verification

2021 ◽  
Author(s):  
Dimitrios Dimitris Antoniadis ◽  
Peilong Feng ◽  
Andrea Mifsud ◽  
Timothy G. Constandinou
Keyword(s):  
Open Source ◽  
Source Memory

scholarly journals OpenRAM: an open-source memory compiler

2016 ◽  
Author(s):  
Matthew R. Guthaus ◽  
James E. Stine ◽  
Samira Ataei ◽  
Brian Chen ◽  
Bin Wu ◽  
...  
Keyword(s):  
Open Source ◽  
Source Memory

Open Source

2007 ◽  
Author(s):  
Fadi P. Deek ◽  
James A. M. McHugh
Keyword(s):  
Open Source

Positive Arousal Enhances the Consolidation of Item Memory

2015 ◽  
Vol 74 (2) ◽  
pp. 91-104 ◽  
Author(s):  
Bo Wang
Keyword(s):  
Episodic Memory ◽  
Memory Consolidation ◽  
Source Memory ◽  
Emotional Arousal ◽  
Theoretical Models ◽  
Memory Test ◽  
Learning Phase ◽  
Item Memory ◽  
Memory Tests ◽  
Immediate Memory

Emotional arousal induced after learning has been shown to modulate memory consolidation. However, it is unclear whether the effect of postlearning arousal can extend to different aspects of memory. This study examined the effect of postlearning positive arousal on both item memory and source memory. Participants learned a list of neutral words and took an immediate memory test. Then they watched a positive or a neutral videoclip and took delayed memory tests after either 25 minutes or 1 week had elapsed after the learning phase. In both delay conditions, positive arousal enhanced consolidation of item memory as measured by overall recognition. Furthermore, positive arousal enhanced consolidation of familiarity but not recollection. However, positive arousal appeared to have no effect on consolidation of source memory. These findings have implications for building theoretical models of the effect of emotional arousal on consolidation of episodic memory and for applying postlearning emotional arousal as a technique of memory intervention.

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