AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers

被引：4

作者：

Nagendra, Nayana Prasad ^{[1
]}

Ayers, Grant ^{[2
]}

August, David I. ^{[3
]}

Cho, Hyoun Kyu ^{[2
]}

Kanev, Svilen ^{[4
]}

Kozyrakis, Christos ^{[5
]}

Krishnamurthy, Trivikram ^{[6
]}

Litz, Heiner ^{[7
]}

Moseley, Tipp ^{[8
]}

Ranganathan, Parthasarathy ^{[9
]}

机构：

[1] Princeton Univ, Dept Comp Sci, Princeton, NJ 08544 USA

[2] Google, Mountain View, CA USA

[3] Princeton Univ, Dept Comp Sci, Liberty Res Grp, Princeton, NJ 08544 USA

[4] Google, Translating Datactr Performance Anal Insights Per, Mountain View, CA USA

[5] Stanford Univ, Elect Engn & Comp Sci, Stanford, CA 94305 USA

[6] Nvidia, Santa Clara, CA USA

[7] Univ Calif Santa Cruz, Comp Sci & Engn Dept, Santa Cruz, CA 95064 USA

[8] Google, Datactr Scale Performance Anal, Mountain View, CA USA

[9] Google, Nextgenerat Syst, Mountain View, CA USA

来源：

IEEE MICRO | 2020年 / 40卷 / 03期

关键词：

Prefetching; Optimization; Servers; Hardware; Databases; Complexity theory;

D O I：

10.1109/MM.2020.2986212

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is well known that the datacenters hosting today's cloud services waste a significant number of cycles on front-end stalls. However, prior work has provided little insights about the source of these front-end stalls and how to address them. This work analyzes the cause of instruction cache misses at a fleet-wide scale and proposes a new compiler-driven software code prefetching strategy to reduce instruction caches misses by 90%.

引用

下载

页码：56 / 63

页数：8

共 41 条

[1] AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers
Ayers, Grant
Nagendra, Nayana Prasad
August, David, I
Cho, Hyoun Kyu
Kanev, Svilen
Kozyrakis, Christos
Krishnamurthy, Trivikram
Litz, Heiner
Moseley, Tipp
Ranganathan, Parthasarathy
PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19), 2019, : 462 - 473
[2] Warehouse-Scale Computers
Holzle, Urs
Barroso, Luiz Andre
IEEE INTERNET COMPUTING, 2010, 14 (01) : 33 - 35
[3] Autonomous Warehouse-Scale Computers
Dev, Sundar
Lo, David
Cheng, Liqun
Ranganathan, Parthasarathy
PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2020,
[4] SIRIUS IMPLICATIONS FOR FUTURE WAREHOUSE-SCALE COMPUTERS
Hauswald, Johann
Laurenzano, Michael A.
Zhang, Yunqi
Li, Cheng
Rovinski, Austin
Khurana, Arjun
Dreslinski, Ronald G.
Mudge, Trevor
Petrucci, Vinicius
Tang, Lingjia
Mars, Jason
IEEE MICRO, 2016, 36 (03) : 42 - 53
[5] Heterogeneity in "Homogeneous" Warehouse-Scale Computers: A Performance Opportunity
Mars, Jason
Tang, Lingjia
Hundt, Robert
IEEE COMPUTER ARCHITECTURE LETTERS, 2011, 10 (02) : 29 - 32
[6] Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant
Hauswald, Johann
Laurenzano, Michael A.
Zhang, Yunqi
Yang, Hailong
Kang, Yiping
Li, Cheng
Rovinski, Austin
Khurana, Arjun
Dreslinski, Ronald G.
Mudge, Trevor
Petrucci, Vinicius
Tang, Lingjia
Mars, Jason
ACM TRANSACTIONS ON COMPUTER SYSTEMS, 2016, 34 (01):
[7] Software-Defined Far Memory in Warehouse-Scale Computers
Lagar-Cavilla, Andres
Ahn, Junwhan
Souhlal, Suleiman
Agarwal, Neha
Burny, Radoslaw
Butt, Shakeel
Chang, Jichuan
Chaugule, Ashwin
Deng, Nan
Shahid, Junaid
Thelen, Greg
Yurtsever, Kamil Adam
Zhao, Yu
Ranganathan, Parthasarathy
TWENTY-FOURTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXIV), 2019, : 317 - 330
[8] Understanding Data Compression in Warehouse-Scale Datacenter Services
Jeong, Geonhwa
Sharma, Bikash
Terrell, Nick
Dhanotia, Abhishek
Zhao, Zhiwei
Agarwal, Niket
Kejariwal, Arun
Krishna, Tushar
2022 IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE (ISPASS 2022), 2022, : 221 - 223
[9] INCREASING UTILIZATION IN MODERN WAREHOUSE-SCALE COMPUTERS USING BUBBLE-UP
Mars, Jason
Tang, Lingjia
Skadron, Kevin
Soffa, Mary Lou
Hundt, Robert
IEEE MICRO, 2012, 32 (03) : 88 - 99
[10] Understanding the Front-end of Large-Scale Engineering Programs
Lucae, Sebastian
Rebentisch, Eric
Oehmen, Josef
2014 CONFERENCE ON SYSTEMS ENGINEERING RESEARCH, 2014, 28 : 653 - 662

← 1 2 3 4 5 →