Distributed instruction set computer architecture

1991 ◽  
Vol 40 (8) ◽  
pp. 915-934 ◽  
Author(s):  
L. Wang ◽  
C.-L. Wu
2019 ◽  
Vol 4 (26) ◽  
pp. eaav3150 ◽  
Author(s):  
Miguel Lázaro-Gredilla ◽  
Dianhuan Lin ◽  
J. Swaroop Guntupalli ◽  
Dileep George

Humans can infer concepts from image pairs and apply those in the physical world in a completely different setting, enabling tasks like IKEA assembly from diagrams. If robots could represent and infer high-level concepts, then it would notably improve their ability to understand our intent and to transfer tasks between different environments. To that end, we introduce a computational framework that replicates aspects of human concept learning. Concepts are represented as programs on a computer architecture consisting of a visual perception system, working memory, and action controller. The instruction set of this cognitive computer has commands for parsing a visual scene, directing gaze and attention, imagining new objects, manipulating the contents of a visual working memory, and controlling arm movement. Inferring a concept corresponds to inducing a program that can transform the input to the output. Some concepts require the use of imagination and recursion. Previously learned concepts simplify the learning of subsequent, more elaborate concepts and create a hierarchy of abstractions. We demonstrate how a robot can use these abstractions to interpret novel concepts presented to it as schematic images and then apply those concepts in very different situations. By bringing cognitive science ideas on mental imagery, perceptual symbols, embodied cognition, and deictic mechanisms into the realm of machine learning, our work brings us closer to the goal of building robots that have interpretable representations and common sense.


2013 ◽  
Vol 2013 ◽  
pp. 1-26 ◽  
Author(s):  
Jia Hao Kong ◽  
Li-Minn Ang ◽  
Kah Phooi Seng

The “S-box” algorithm is a key component in the Advanced Encryption Standard (AES) due to its nonlinear property. Various implementation approaches have been researched and discussed meeting stringent application goals (such as low power, high throughput, low area), but the ultimate goal for many researchers is to find a compact and small hardware footprint for the S-box circuit. In this paper, we present our version of minimized S-box with two separate proposals and improvements in the overall gate count. The compact S-box is adopted with a compact and optimum processor architecture specifically tailored for the AES, namely, the compact instruction set architecture (CISA). To further justify and strengthen the purpose of the compact crypto-processor’s application, we have also presented a selective encryption architecture (SEA) which incorporates the CISA as a part of the encryption core, accompanied by the set partitioning in hierarchical trees (SPIHT) algorithm as a complete selective encryption system.


2013 ◽  
Vol 325-326 ◽  
pp. 1766-1769
Author(s):  
Xiao Peng Gao ◽  
Ping Yang Guo

Simulators play an important part in computer architecture research. As for specific microarchitecture study, which focuses on the accurate behavior of out-of-order scheduling, ALU contention, and function unit management, an over-simplified abstraction is not sufficient to represent modern processor organizations. Thus cycle-accurate simulators are introduced to describe the accurate behavior in target microarchitecture. In cycle-accurate simulators, the timing feature within function units is simulated. This paper presents PPSim, a cycle-accurate PowerPC instruction set simulator, which models the cache, branch prediction, and out of order pipeline in PowerPC microarchitecture.


The emerging technology in computer architecture has led to the development of various ISAs depending on the needs of the desired technology, architectures, and processor cores. Instruction Set Architectures (ISAs) for processors from Intel, AMD, Intel, RISC-V, etc. This has provided the path to implement various functions on an open core SoC Platform. Among the many DSP applications, the FIR filter has been implemented on an open core SoC platform that uses RISCV. Here specifically filtering of noise from ECG signal. The performance cycle count has been obtained for the same and compared with its counterpart ARM M7 on the Keil platform.


Author(s):  
P. C. Anagnostopoulos ◽  
M. J. Michel ◽  
G. H. Sockut ◽  
G. M. Stabler ◽  
A. van Dam

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Li Liu

This paper presents an in-depth analysis and research on teaching English listening through a wireless communication microprocessor combined with a virtual environment and designs and implements an English listening teaching experiment. Based on an in-depth understanding of wireless communication algorithms, this thesis extends the instruction set based on the general-purpose compact instruction set computer architecture (RISC) for common operations in wireless communication algorithms, adding new instructions such as multiplication and addition and bit inversion. The microprocessor has an increase in the number of execution clocks for wireless algorithm processing. The processor is extended with an interrupt interface to facilitate information interaction between the processor and the external environment to achieve coordinated work between the processor and the accelerator and to further enhance the speed of digital signal processing through the introduction of the accelerator. An overview and comparison of the status of domestic and foreign research are presented in the vein of VR teaching and the overall development of English teaching. Then, the problems and hypotheses to be explored in this study are presented, and several types of research methods used to explore the solutions to the problems are introduced. The results of the two classroom formats were compared, and specific performance data were obtained. The analysis of the results showed that the students in the VR scenario teaching group made greater progress in vocabulary judgments, complementary dialogues, and Chinese to English translation, with a 43% merit rate and a 100% pass rate in English for the whole group. The real-life scenarios created through VR technology greatly increased students’ interest in learning and significantly improved the effectiveness of classroom teaching. The development trend of education informatization is towards virtualization and intelligence, and the application of VR to the process of education teaching is of great significance to promote the modernization of secondary education informatization.


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