COMP 322: Fundamentals of Parallel Programming (Spring
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2023)
InstructorsInstructor: | Mackale Joyner, DH 2063 Zoran Budimlić, DH 1038 | TAs: | Adrienne Li, Austin Hushower, Claire Xu, Diep Hoang, Hunena Badat, Maki Yu, Mantej Singh, Rose Zhang, Victor Song, Yidi Wang |
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| Admin Assistant: | Annepha Hurlock, annepha@rice.edu, DH 3122, 713-348-5186 |
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| Mohamed Abead, Chase Hartsell, Taha Hasan, Harrison Huang, Jerry Jiang, Jasmine Lee, Michelle Lee, Hung Nguyen, Quang Nguyen, Ryan Ramos, Oscar Reynozo, Delaney Schultz, Tina Wen, Raiyan Zannat, Kailin Zhang | |||
Piazza site: | https://piazza.com/rice/spring2022/comp322 (Piazza is the preferred medium for all course communications) | Cross-listing: | ELEC 323 |
Lecture location: | Herzstein Amphitheater (online 1st 2 weeks)TBD | Lecture times: | MWF 1:00pm - 1:50pm |
Lab locations: | Keck 100 (online 1st 2 weeks)TBD | Lab times: | Mon 3:00pm - 3:50pm () Wed Tue 4:30pm 00pm - 54:20pm 50pm () |
Course Syllabus
A summary PDF file containing the course syllabus for the course can be found here. Much of the syllabus information is also included below in this course web site, along with some additional details that are not included in the syllabus.
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The desired learning outcomes fall into three major areas (course modules):
1) Parallelism: functional programming, Java streams, creation and coordination of parallelism (async, finish), abstract performance metrics (work, critical paths), Amdahl's Law, weak vs. strong scaling, data races and determinism, data race avoidance (immutability, futures, accumulators, dataflow), deadlock avoidance, abstract vs. real performance (granularity, scalability), collective & point-to-point synchronization (phasers, barriers), parallel algorithms, systolic algorithms.
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3) Locality & Distribution: memory hierarchies, locality, cache affinity, data movement, message-passing (MPI), communication overheads (bandwidth, latency), MapReduce, accelerators, GPGPUs, CUDA, OpenCL., MapReduce
To To achieve these learning outcomes, each class period will include time for both instructor lectures and in-class exercises based on assigned reading and videos. The lab exercises will be used to help students gain hands-on programming experience with the concepts introduced in the lectures.
To ensure that students gain a strong knowledge of parallel programming foundations, the classes and homeworks homework will place equal emphasis on both theory and practice. The programming component of the course will mostly use the Habanero-Java Library (HJ-lib) pedagogic extension to the Java language developed in the Habanero Extreme Scale Software Research project at Rice University. The course will also introduce you to real-world parallel programming models including Java Concurrency, MapReduce, MPI, OpenCL and CUDA. An important goal is that, at the end of COMP 322, you should feel comfortable programming in any parallel language for which you are familiar with the underlying sequential language (Java or C). Any parallel programming primitives that you encounter in the future should be easily recognizable based on the fundamentals studied in COMP 322.
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- Module 1 handout (Parallelism)
- Module 2 handout (Concurrency)There is no lecture handout for Module 3 (Distribution and Locality). The instructor will refer you to optional resources to supplement the lecture slides and videos.
There are also a few optional textbooks that we will draw from during the course. You are encouraged to get copies of any or all of these books. They will serve as useful references both during and after this course:
- Fork-Join Parallelism with a Data-Structures Focus (FJP) by Dan Grossman (Chapter 7 in Topics in Parallel and Distributed Computing)
- Java Concurrency in Practice by Brian Goetz with Tim Peierls, Joshua Bloch, Joseph Bowbeer, David Holmes and Doug Lea
- Principles of Parallel Programming by Calvin Lin and Lawrence Snyder
- The Art of Multiprocessor Programming by Maurice Herlihy and Nir Shavit
Lecture Schedule
Finally, here are some additional resources that may be helpful for you:
- Slides titled "MPI-based Approaches for Java" by Bryan Carpenter
Lecture Schedule
WeekWeek | Day | Date (20212022) | Lecture | Assigned Reading | Assigned Videos (see Canvas site for video links) | In-class Worksheets | Slides | Work Assigned | Work Due | Worksheet Solutions | |||||||||||||||||||||
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1 | Mon | Jan 2509 | Lecture 1: Task Creation and Termination (Async, Finish) | Module 1: Section 1.1 | Topic 1.1 Lecture, Topic 1.1 DemonstrationIntroduction |
| worksheet1 | lec1-slides | worksheet1 | lec1-slides |
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| WS1-solution | ||||||||||||||||||
| Wed | Jan 2711 | Lecture 2: Computation Graphs, Ideal Parallelism | Module 1: Sections 1.2, 1.3 | Topic 1.2 Lecture, Topic 1.2 Demonstration, Topic 1.3 Lecture, Topic 1.3 Demonstration | worksheet2 | lec2-slides | Homework 1Functional Programming | GList.java | worksheet2 | lec02-slides |
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| WS2-solution | |||||||||||||||||
| Fri | Jan 2913 | Lecture 3: Abstract Performance Metrics, Multiprocessor Scheduling | Module 1: Section 1.4 | Topic 1.4 Lecture, Topic 1.4 Demonstration | worksheet3 | Higher order functions | worksheet3 | lec3-slides lec3-slides |
| WS3-solution | |||||||||||||||||||||
2 | Mon | Jan 16 | No class: MLK | ||||||||||||||||||||||||||||
| Wed | Jan 18 | Lecture 4: Lazy Computation | LazyList.java Lazy.java | Feb 01 | Lecture 4: Parallel Speedup and Amdahl's Law | Module 1: Section 1.5 | Topic 1.5 Lecture, Topic 1.5 Demonstration | worksheet4 | lec4-slides | Quiz for Unit 1 | WS4-solution | |||||||||||||||||||
| WedFri | Feb 03Jan 20 | Lecture 5: | Future Tasks, Functional Parallelism ("Back to the Future")Java Streams | Module 1: Section 2.1 | Topic 2.1 Lecture, Topic 2.1 Demonstrationworksheet5 | lec5-slides | Homework 1 | WS5-solution | ||||||||||||||||||||||
| 3 | FriMon | Feb 05Jan 23 | Lecture 6: Finish Accumulators Map Reduce with Java Streams | Module 1: Section 2.34 | Topic 2.3 4 Lecture, Topic 2.3 4 Demonstration | worksheet6 | lec6-slides |
| Quiz for Unit 1 | WS6-solution | |||||||||||||||||||||
| 3 | Mon | Feb 08Wed | Jan 25 | Lecture 7: | Map ReduceFutures | Module 1: Section 2.41 | Topic 2. | 41 Lecture , Topic 2. | 41 Demonstration | worksheet7 | lec7-slides |
| WS7-solution | |||||||||||||||||
| WedFri | Feb 10Jan 27 | Lecture 8: Data Races, Functional & Structural Determinism Computation Graphs, Ideal Parallelism | Module 1: Section Sections 1.2.5, 21.63 | Topic 1.2 .5 Lecture, Topic 1.2 .5 Demonstration, Topic 21.6 3 Lecture, Topic 21.6 3 Demonstration | worksheet8 | lec8-slides | Homework 2 | WS8-solutionHomework 1 | ||||||||||||||||||||||
4 | Mon
| Fri | Feb 12 | Lecture 9: Java’s Fork/Join LibraryJan 30 | Lecture 9: Async, Finish, Data-Driven Tasks | Module 1: Section 1.1, 4.5
| Topic 21. 71 Lecture, Topic 21. 71 Demonstration, Topic 24. 85 Lecture, Topic 24. 85 Demonstration | worksheet9 | lec9-slidesslides | Quiz for Unit 2 | WS9-solution | ||||||||||||||||||||
| 4 | Wed | Mon
| Feb | 15No class (weather)01 | Lecture 10: Event-based programming model
| worksheet10 | lec10-slides | Homework 1 | WS10-solution | ||||||||||||||||||||||
| WedFri | Feb 17 | Spring "Sprinkle" Day (no class) | 03 | Lecture 11: GUI programming as an example of event-based, futures/callbacks in GUI programming | worksheet11 | lec11-slides | Homework 2 | ||||||||||||||||||||||||
| Fri | Feb 19 | No class (weather) | |||||||||||||||||||||||||||||
| WS11-solution | |||||||||||||||||||||||||||||||
| 5 | Mon | Feb 2206 | Lecture 10: Loop-Level Parallelism, Parallel Matrix Multiplication12: Scheduling/executing computation graphs Abstract performance metrics | Module 1: Sections 3.Section 1, 3.24 | Topic 31.1 4 Lecture , Topic 3. 1 Demonstration , Topic 3.2 Lecture, Topic 3.2 .4 Demonstration | worksheet10worksheet12 | lec10lec12-slides | WS12-solution | |||||||||||||||||||||||
| Wed | Feb 2408 | Lecture 11: Iteration Grouping (Chunking), Barrier Synchronization 13: Parallel Speedup, Critical Path, Amdahl's Law | Module 1: Sections 3.3, 3.4Section 1.5 | Topic 31.3 5 Lecture , Topic 31.3 Demonstration, Topic 3.4 Lecture , Topic 3.4 Demonstration | worksheet11 | 5 Demonstration | worksheet13 | lec13lec11-slides | WS13-solution | |||||||||||||||||||||
| Fri | Feb 2610 | No class: Spring Recess Lecture 12: Data-Driven Tasks | Module 1: Sections 4.5 | Topic 4.5 Lecture Topic 4.5 Demonstration | worksheet12 | lec12-slides | Quiz for Unit 2 | |||||||||||||||||||||||
| 6 | Mon | Mar 01 | Spring "Sprinkle" Day (no class) | Feb 13 | Lecture 14: Accumulation and reduction. Finish accumulators | Module 1: Section 2.3 | Topic 2.3 Lecture Topic 2.3 Demonstration | worksheet14 | lec14-slides | WS14-solution | |||||||||||||||||||||
| Wed Mar | 03Feb 15 | Lecture 1315: Parallelism in Java Streams, Parallel Prefix Sums | Module 1: Sections 3.7 | Topic 3.7 Lecture , Topic 3.7 Demonstration | worksheet13 | lec13-slides | Homework 3 (includes one intermediate checkpoint)
| Homework 2 | Recursive Task Parallelism | worksheet15 | lec15-slides |
| WS15-solution | |||||||||||||||||
| FriMar | 05Feb 17 | Lecture 14: Iterative Averaging Revisited, SPMD pattern16: Data Races, Functional & Structural Determinism | Module 1: Sections 32.5, 32.6 | Topic 32.5 Lecture , Topic 32.5 Demonstration, Topic 32.6 Lecture, Topic 32.6 Demonstration | worksheet14 worksheet16 | lec14lec16-slides | Quiz for Unit Homework 3 | Homework 2 | WS16-solution | ||||||||||||||||||||||
7 | MonMar | 08Feb 20 | Lecture 15: Point-to-point Synchronization with Phasers | Module 1: Section 4.2, 4.3 | Topic 4.2 Lecture , Topic 4.2 Demonstration, Topic 4.3 Lecture, Topic 4.3 Demonstration | worksheet15 | 17: Midterm Review | lec17-slides | |||||||||||||||||||||||
| Wed | Feb 22 | Lecture 18: Limitations of Functional parallelism. | worksheet18 | lec18lec15-slides | WS18-solution | |||||||||||||||||||||||||
| WedFriMar 10 | Feb 24 | Lecture 16: Midterm Review | 19: Fork/Join programming model. OS Threads. Scheduler Pattern | Topic 2.7 Lecture, Topic 2.7 Demonstration, Topic 2.8 Lecture, Topic 2.8 Demonstration, | worksheet19 | lec19lec16-slides | WS19-solution | |||||||||||||||||||||||
8 | FriMon | Mar 12 Feb 27 | Lecture 17: Pipeline Parallelism, Signal Statement, Fuzzy Barriers | Module 1: Sections 4.4, 4.1 | Topic 4.4 Lecture , Topic 4.4 Demonstration, Topic 4.1 Lecture, Topic 4.1 Demonstration | worksheet17 | lec17-slides | 8 | Mon | Mar 15 | Lecture 18: Abstract vs. Real Performance | worksheet18 | lec18-slides | Quiz for Unit 4 | Quiz for Unit 3 | 20: Confinement & Monitor Pattern. Critical sections | Module 2: Sections 5.1, 5.2, 5.6 | Topic 5.1 Lecture, Topic 5.1 Demonstration, Topic 5.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstration | worksheet20 | lec20-slides | WS20-solution | ||||||||||
| Wed | Mar 1701 | Lecture 19: Critical Sections, Isolated construct (start of Module 2)21: Atomic variables, Synchronized statements | Module 2: Sections 5. 14, 57.2 , 5.6, | Topic 5.1 4 Lecture, Topic 5.1 4 Demonstration, Topic 57.2 Lecture, Topic 5.2 Demonstration, Topic 5.6 Lecture, Topic 5.6 Demonstration | worksheet19 | worksheet21 | lec21lec19-slides | WS21-solution | ||||||||||||||||||||||
| Fri | Mar 1903 | Lecture 2022: Parallel Spanning Tree algorithm, Atomic variables | Module 2: Sections 5.3, 5.4, 5.5 | Topic 5.3 Demonstration, Topic 5.4 Lecture, Topic 5.4 Demonstration, Topic 5.5 Lecture, Topic 5.5 Demonstration | worksheet20 | lec20-slides | Quiz for Unit 4 | , other graph algorithms | worksheet22 | lec22-slides | Homework 4 | Homework 3 | WS22-solution | |||||||||||||||||
9 | Mon | Mar 2206 | Lecture 21: Actors23: Java Threads and Locks | Module 2: 6Sections 7.1, 67.23 | Topic 67.1 Lecture, Topic 6.1 Demonstration , Topic 6.2 Lecture, Topic 6.2 Demonstration | worksheet21 | lec21-slides | Quiz for Unit 5 |
| 7.3 Lecture | worksheet23 | lec23-slides |
| WS23-solution | |||||||||||||||||
| Wed | Mar 2408 | Lecture 22: Actors (contd)24: Java Locks - Soundness and progress guarantees | Module 2: 6.3, 6.47.5 | Topic 67.3 Lecture, Topic 6.3 Demonstration, Topic 6.4 Lecture , Topic 6.4 Demonstration | worksheet22 | lec22-slides | Homework 3, Checkpoint-1 | 5 Lecture | worksheet24 | lec24-slides |
| WS24-solution | ||||||||||||||||||
| Fri | Mar 26 | Spring "Sprinkle" Day (no class)
| 10 | Lecture 25: Dining Philosophers Problem | Module 2: 7.6 | Topic 7.6 Lecture | worksheet25 | lec25-slides |
| WS25-solution | ||||||||||||||||||||
| 10 | Mon | Mar 2913 | Lecture 23: Actors (contd) | Module 2: 6.5, 6.6 | Topic 6.5 Lecture, Topic 6.5 Demonstration, Topic 6.6 Lecture, Topic 6.6 Demonstration | worksheet23 | lec23-slides | No class: Spring Break | Quiz for Unit 5 | ||||||||||||||||||||||
| Wed | Mar 31 | Lecture 24: Java Threads, Java synchronized statement | Module 2: 7.1, 7.2 | Topic 7.1 Lecture, Topic 7.2 Lecture | worksheet24 | lec24-slides | 15 | No class: Spring Break | Quiz for Unit 6 | ||||||||||||||||||||||
| Fri | Apr 02 | Lecture 25: Java Threads, Java synchronized statement (contd), wait/notify | Module 2: 7.1, 7.2 | Topic 7.1 Lecture, Topic 7.2 Lecture | worksheet25 | lec25-slides | Mar 17 | No class: Spring Break |
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1110 | MonApr | 05Mar 20 | Lecture 26: Java Locks | Module 2: 7.3 | Topic 7.3 Lecture | worksheet26 | N-Body problem, applications and implementations | worksheet26 | lec26-slides | Homework 4 (includes one intermediate checkpoint) | Homework 3 (all) | WS26-solution | |||||||||||||||||||
| WedApr 07 | Mar 22 | Lecture 27: Read-Write Locks, Linearizability of Concurrent Objects | Module 2: 7.3, 7.4 | Topic 7.3 Lecture, Topic 7.4 Lecture | worksheet27 | lec27-slides |
| WS27-solution | ||||||||||||||||||||||
| FriApr | 09Mar 24 | Lecture 28: Safety and Liveness Properties, Java Synchronizers, Dining Philosophers Problem | Message-Passing programming model with Actors | Module 2: 6.1, 6.2 | Topic 6.1 Lecture, Topic 6.1 Demonstration, Topic 6.2 Lecture, Topic 6.2 Demonstration Topic 7.5 Lecture, Topic 7.6 Lecture | worksheet28 | lec28-slides | Quiz for Unit 7 |
| WS28-solution | ||||||||||||||||||||
1211 | Mon | Apr 12 | Lecture 29: Message Passing Interface (MPI), (start of Module 3) | Topic 8.1 Lecture, Topic 8.2 Lecture, Topic 8.3 Lecture | worksheet29 | lec29-slides |
| Quiz for Unit 6 | Mar 27 | Lecture 29: Active Object Pattern. Combining Actors with task parallelism | Module 2: 6.3, 6.4 | Topic 6.3 Lecture, Topic 6.3 Demonstration, Topic 6.4 Lecture, Topic 6.4 Demonstration | worksheet29 | lec29-slides |
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| Wed | Mar 29 | Lecture 30: Task Affinity and locality. Memory hierarchy | worksheet30 | lec30-slides |
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| Fri | Mar 31 | Lecture 31: Data-Parallel Programming model. Loop-Level Parallelism, Loop Chunking | Module 1: Sections 3.1, 3.2, 3.3 | Topic 3.1 Lecture, Topic 3.1 Demonstration , Topic 3.2 Lecture, Topic 3.2 Demonstration, Topic 3.3 Lecture, Topic 3.3 Demonstration | worksheet31 | lec31-slides | Homework 5 | Homework 4 | WS31-solution | |||||||||||||||||||||
12 | Mon | Apr 03 | Lecture 32: Barrier Synchronization with Phasers | Module 1: Section 3.4 | Topic 3.4 Lecture, Topic 3.4 Demonstration | worksheet32 | lec32 |
| Wed | Apr 14 | Lecture 30: Message Passing Interface (MPI, contd) | Topic 8.4 Lecture | worksheet30 | lec30-slides |
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| FriWed | Apr 1605 | Lecture 31: Message Passing Interface (MPI, contd) | Topic 8.5 Lecture, Topic 8 Demonstration Video | worksheet31 | lec31-slides | Quiz for Unit 8 | 33: Stencil computation. Point-to-point Synchronization with Phasers | Module 1: Section 4.2, 4.3 | Topic 4.2 Lecture, Topic 4.2 Demonstration, Topic 4.3 Lecture, Topic 4.3 Demonstration | worksheet33 | lec33-slides |
| WS33-solutionQuiz for Unit 7 | |||||||||||||||||
13 | Fri | Mon | Apr 1907 | Lecture 32: Task Affinity with Places | worksheet32 | lec32-slides |
| Homework 4 Checkpoint-1 | 34: Fuzzy Barriers with Phasers | Module 1: Section 4.1 | Topic 4.1 Lecture, Topic 4.1 Demonstration | worksheet34 | lec34-slides |
| WS34-solution | ||||||||||||||||
13 | Mon | Apr 10 | Lecture 35 |
| Wed | Apr 21 | Lecture 33: Eureka-style Speculative Task Parallelism |
| worksheet33worksheet35 | lec33lec35-slides |
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| Fri | Wed | Apr | 2312 | Lecture | 34: Algorithms based on Parallel Prefix (Scan) operations36: Scan Pattern. Parallel Prefix Sum |
| worksheet34worksheet36 | lec34lec36-slides | Quiz for Unit 8 | WS36-solution | |||||||||||||||||||||
| Mon | Fri | Apr | 2614 | Lecture | 3537: | Algorithms based onParallel Prefix | (Scan) operations cont.Sum applications | worksheet35worksheet37 | lec35lec37-slides | ||||||||||||||||||||||
| 14 | WedMon | Apr 2817 | Lecture 36: Course Review (Lectures 19-33)38: Overview of other models and frameworks | lec36lec38-slides | Homework 4 (all) | ||||||||||||||||||||||||||
| FriWed | Apr 3019 | Lecture 3739: Course Review (Lectures 19-3338) | lec37lec39-slides |
Lab Schedule
| Fri | Apr 21 | Lecture 40: Course Review (Lectures 19-38) | lec40-slides | Homework 5 |
Lab Schedule
Lab # | Date (2022) | Topic | Handouts | Examples | ||||
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1 | Jan 10 | Infrastructure setup | lab0-handout lab1-handout | |||||
| 2 | Jan 17 | Functional Programming | lab2-handout | |||||
3 | Jan 24 | Java Streams | lab3-handout | |||||
| 4 | Jan 31 | Futures | lab4-handout | |||||
5 | Feb 07 | Data-Driven Tasks | lab5-handout | |||||
| 6 | Feb 14 | Async / Finish | ||||||
Lab # | Date (2021) | Topic | Handouts | Examples | ||||
| 0 | Infrastructure Setup | lab0-handout | ||||||
1 | Jan 26 | Async-Finish Parallel Programming with abstract metrics | lab1-handout | |||||
| - | Feb 02 | No lab this week | ||||||
2 | Feb 09 | Futures | lab2-handout | |||||
| - | Feb 16 | No lab this week (classes cancelled) | ||||||
3 | Feb 23 | Cutoff Strategy and Real World Performance | lab3-handout | |||||
| 4 | Mar 02 | DDFs | lab4-handout | |||||
| - | Mar 09 | No lab this week (Midterm exam) | ||||||
| - | Mar 16 | No lab this week (Spring "Sprinkle" Day) | ||||||
| 5 | Mar 23 | Loop-level Parallelism | lab5-handout | lab5-intro | ||||
6 | Mar 30 | Isolated Statement and Atomic Variableslab6-handout | ||||||
| - | Apr 06 Feb 21 | No lab this week ( Spring "Sprinkle" DayMidterm) | ||||||
| 7 | Apr 13 | Feb 28 | Recursive Task Cutoff StrategyJava Threads, Java Locks | lab7-handout | ||||
| 8 | Apr 20 | Mar 07 | Java ThreadsActors | lab8-handout | ||||
- | Mar 14 | No lab this week (Spring Break) | ||||||
| 9 | Mar 21 | Concurrent Lists | lab9-handout | |||||
| 10 | Mar 28 | Actors | lab10-handout | Message Passing Interface (MPI) | - | |||
| 11 | Apr 04 | Loop Parallelism | lab11-handout | |||||
- | Apr 11 | No lab this weekEureka-style Speculative Task Parallelism | ||||||
- | Java's ForkJoin Framework | Apr 18 | No lab this week |
Grading, Honor Code Policy, Processes and Procedures
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Labs must be submitted by the following Monday Wednesday at 114:59pm30pm. Labs must be checked off by a TA.
Worksheets should be completed by the deadline listed in Canvas before the start of the following class (for full credit) so that solutions to the worksheets can be discussed in the next class.
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