A Sequential Programming Model of Growth and Capital Accumulation of a Farm under Uncertainty

1972 ◽  
Vol 54 (3) ◽  
pp. 441-451 ◽  
Author(s):  
D. Yaron ◽  
U. Horowitz
Keyword(s):  
Capital Accumulation ◽  
Programming Model ◽  
Sequential Programming

Revisiting the Sequential Programming Model for Multi-Core

2007 ◽  
Author(s):  
Matthew Bridges ◽  
Neil Vachharajani ◽  
Yun Zhang ◽  
Thomas Jablin ◽  
David August
Keyword(s):  
Programming Model ◽  
Sequential Programming

Simultaneous MultiThreading Microarchitecture

2010 ◽  
pp. 552-582
Author(s):  
Chen Liu ◽  
Xiaobin Li ◽  
Shaoshan Liu ◽  
Jean-Luc Gaudiot
Keyword(s):  
Resource Sharing ◽  
High Performance ◽  
Programming Model ◽  
Clock Cycle ◽  
Vital Role ◽  
Simultaneous Multithreading ◽  
Sequential Programming ◽  
Parallel Programming Model ◽  
Key Aspects ◽  
Level Parallelism

Due to the conventional sequential programming model, the Instruction-Level Parallelism (ILP) that modern superscalar processors can explore is inherently limited. Hence, multithreading architectures have been proposed to exploit Thread-Level Parallelism (TLP) in addition to conventional ILP. By issuing and executing instructions from multiple threads at each clock cycle, Simultaneous MultiThreading (SMT) achieves some of the best possible system resource utilization and accordingly higher instruction throughput. In this chapter, the authors describe the origin of SMT microarchitecture, comparing it with other multithreading microarchitectures. They identify several key aspects for high-performance SMT design: fetch policy, handling long-latency instructions, resource sharing control, synchronization and communication. They also describe some potential benefits of SMT microarchitecture: SMT for faulttolerance and SMT for secure communications. Given the need to support sequential legacy code and emerge of new parallel programming model, we believe SMT microarchitecture will play a vital role as we enter the multi-thread multi/many-core processor design era.

Revisiting the Sequential Programming Model for the Multicore Era

IEEE Micro ◽  
2008 ◽  
Vol 28 (1) ◽  
pp. 12-20 ◽  
Author(s):  
Matthew J. Bridges ◽  
Neil Vachharajani ◽  
Yun Zhang ◽  
Thomas Jablin ◽  
David I. August
Keyword(s):  
Programming Model ◽  
Sequential Programming

Secular stagnation in the modern world

2018 ◽  
pp. 125-141 ◽  
Author(s):  
S. M. Drobyshevsky ◽  
P. V. Trunin ◽  
A. V. Bozhechkova
Keyword(s):  
Public Debt ◽  
Capital Accumulation ◽  
Technological Development ◽  
Japanese Economy ◽  
Modern World ◽  
Key Factors ◽  
Destruction Process ◽  
Secular Stagnation ◽  
The Impact

The paper studies the factors of secular stagnation. Key factors of long-term slowdown in economic growth include the slowdown of technological development, aging population, human capital accumulation limits, high public debt, creative destruction process violation etc. The authors analyze key theoretical aspects of long-term stagnation and study the impact of these factors on Japanies economy. The authors conclude that most of the factors have significant influence on the Japanese economy for recent decades, but they cannot explain all dynamics. For Russia, on the contrary, we do not see any grounds for considering the decline in the economy since 2013 as an episode of secular stagnation.

Human Capital Accumulation and Resource Abundance

2011 ◽  
pp. 66-77
Author(s):  
O. Vasilieva
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Capital Accumulation ◽  
Relevant Literature ◽  
Harmful Effect ◽  
Human Capital Accumulation ◽  
Resource Abundance ◽  
Empirical Results ◽  
Theoretical Predictions ◽  
Crowd Out

Does resource abundance positively affect human capital accumulation? Or, alternatively, does it «crowd out» the human capital leading to the deterioration of economic growth? The paper gives an overview of the relevant literature and discusses both theoretical and empirical results obtained regarding the connection between human capital accumulation and resource abundance. It shows that despite some theoretical predictions about the harmful effect of resource abundance on human capital accumulation, unambiguous evidence of such impact that would be robust with respect to the change of resource abundance parameter has not been obtained yet.

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