Hardware Architecture

All posts under tag "Hardware Architecture"

3 posts total
Sorted by date
RISC and CISC

RISC and CISC

RISC์™€ CISC๋Š” ์ปดํ“จํ„ฐ ์•„ํ‚คํ…์ฒ˜ ์„ค๊ณ„์—์„œ ๋‘ ๊ฐ€์ง€ ๊ทน๋‹จ์ ์ธ ์ ‘๊ทผ ๋ฐฉ์‹์„ ๋Œ€ํ‘œํ•˜๋ฉฐ, ๊ฐ๊ฐ์ด ํŠน์ • ์‹œ์ ์—์„œ์˜ ๊ธฐ์ˆ ์  ์š”๊ตฌ์‚ฌํ•ญ๊ณผ ์ œํ•œ ์กฐ๊ฑด์— ๋”ฐ๋ผ ๋ฐœ์ „ํ•ด์™”์Šต๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ RISC์™€ CISC์˜ ์žฅ๋‹จ์ ์„ ๋น„๊ตํ•˜๊ณ  ํ˜„๋Œ€ ์ปดํ“จํŒ… ํ™˜๊ฒฝ์—์„œ์˜ ์ ํ•ฉ์„ฑ์„ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. 1. ์„ค๊ณ„ ์ฒ ํ•™์˜ ๋ฐฐ๊ฒฝ CISC ์•„ํ‚คํ…์ฒ˜๋Š” ์ดˆ๊ธฐ ์ปดํ“จํ„ฐ ์‹œ์Šคํ…œ์—์„œ ์ฃผ ๋ฉ”๋ชจ๋ฆฌ๊ฐ€ ์ œํ•œ์ ์ด์—ˆ๋˜ ์ƒํ™ฉ์—์„œ ๋ฐœ์ „ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋•Œ, ๋ณต์žกํ•œ ๋ช…๋ น์–ด ์ง‘ํ•ฉ์€ ํ”„๋กœ๊ทธ๋žจ ์ฝ”๋“œ๋ฅผ ๋” ์งง๊ฒŒ ๋งŒ๋“ค๊ณ  ๋ฉ”๋ชจ๋ฆฌ๋ฅผ ํšจ์œจ์ ์œผ๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ์„ค๊ณ„๋Š” ๋ช…๋ น์–ด ๊ธธ์ด ๋ณ€๋™๊ณผ ๋ณต์žกํ•œ ๋””์ฝ”๋”ฉ ๋ฌธ

Computer Science Hardware Architecture
No Image

Quantum Cost Efficient Reversible BCD Adder for Nanotechnology Based Systems

๋ณธ ๋…ผ๋ฌธ์€ ์—ญ์ „ํŒŒ ๋…ผ๋ฆฌ ํšŒ๋กœ์˜ ์ค‘์š”์„ฑ๊ณผ ๊ทธ ์ ์šฉ ๋ฒ”์œ„์— ๋Œ€ํ•ด ์ƒ์„ธํžˆ ์„ค๋ช…ํ•˜๋ฉฐ, ํŠนํžˆ BCD ๋ง์…ˆ๊ธฐ์˜ ์–‘์ž ๋น„์šฉ ํšจ์œจ์ ์ธ ์„ค๊ณ„๋ฅผ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์—ญ์ „ํŒŒ ๊ฒŒ์ดํŠธ์˜ ํŠน์„ฑ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์ €์ „๋ ฅ ํšŒ๋กœ ์„ค๊ณ„์™€ ๋‚˜๋…ธ๊ธฐ์ˆ  ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ๋ฐœ์ „์„ ์ด๋ฃจ์—ˆ์Šต๋‹ˆ๋‹ค. 1. ์—ญ์ „ํŒŒ ๋…ผ๋ฆฌ์˜ ์ค‘์š”์„ฑ ์—ญ์ „ํŒŒ ๋…ผ๋ฆฌ๋Š” ์ •๋ณด ์†์‹ค ์—†์ด ์ž‘๋™ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์—ด ๋ฐœ์ƒ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ํŠนํžˆ ์ €์ „๋ ฅ ์†Œ๋ชจ ํšŒ๋กœ ์„ค๊ณ„์— ์žˆ์–ด ๋งค์šฐ ์ค‘์š”ํ•œ ํŠน์ง•์ž…๋‹ˆ๋‹ค. ์—ญ์ „ํŒŒ ๊ฒŒ์ดํŠธ๋Š” ์ž…๋ ฅ๊ณผ ์ถœ๋ ฅ ๊ฐ„ 1๋Œ€1 ๋งคํ•‘์„ ๊ตฌํ˜„ํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด

System Computer Science Hardware Architecture
Shenjing: A low power reconfigurable neuromorphic accelerator with   partial-sum and spike networks-on-chip

Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

This paper introduces Shenjing, a novel architecture that aims to achieve energy efficient deep neural networks (DNNs). The primary focus is on addressing the high energy consumption of DNNs, especially in on device AI applications where both computation and communication consume significant amounts

Emerging Technologies Neural Computing Network Computer Science Hardware Architecture

< Category Statistics (Total: 771) >

Electrical Engineering and Systems Science
7
General
272
General Relativity
9
HEP-EX
7
HEP-PH
12
HEP-TH
7
MATH-PH
4
NUCL-TH
1
Quantum Physics
10

Start searching

Enter keywords to search articles

โ†‘โ†“
โ†ต
ESC
โŒ˜K Shortcut