Sep 07, 2023 •165 likes •814 views
TXN/SEC CPU CORES
Recommend
PELOTON THE SELF-DRIVING DBMS 2008 5,000 txn/sec H-Store: A High-Performance, Distributed Main Memory Transaction Processing System VLDB 2008 2008 5,000 txn/sec 2010 11,000 txn/sec On Predictive Modeling for Optimizing Transaction
509 views • 32 slides
Cycle time: 40 sec Cycle time: 12 sec Cycle time: 0.75 sec Cycle time: 1.25 sec Cycle time: 5 sec Cycle time: 18 sec Cycle time: 11 sec Cycle time: 18 sec Cycle time: 12 sec Cycle time: 6.5 sec Cycle time: 30 sec Cycle time: 3 sec
151 views • 13 slides
1.0 sec 0.1 sec 10 sec 1.0 sec 0.1 sec Min:500 10 sec Max:700 1.0 sec 0.1 sec Min:500 10 sec Max:700 1.0 sec 0.1 sec
335 views • 18 slides
Networks Computer-Computer Comm CPU CPU CPU CPU Memory Device Device Memory Memory Device Device Memory Computer-Computer Comm CPU CPU CPU CPU Comm Comm Comm Comm Memory Memory Memory Memory Device Device Device Device
629 views • 36 slides
RECAP View of someone who wants to make a transaction Block = # Prev = # B 1 B 2 ... B 8 B 9 B 10 B ... B Txn #871 t Wait a few blocks until you Txn=#871 George Anna 1 . can say that the transaction is
580 views • 20 slides
Router Architectures CPU CPU Memory Memory packets NFE NFE Processor Processor Line Card Line Card Line Card CPU CPU CPU Line Card Line Card #1 #1 #4 Memory Memory Memory #4 #4 CPU CPU CPU CPU Line Card Line Card Line
1.15k views • 9 slides
CPU Scheduling CPU Scheduling CPU Scheduling 101 CPU Scheduling 101 The CPU scheduler makes a sequence of moves that determines the interleaving of threads. Programs use synchronization to prevent bad moves. but
621 views • 22 slides
594 views • 29 slides
CPU scheduling CPU 1 P k P 3 P 2 P 1 . . . CPU 2 . . . CPU n The scheduling problem: - Have k jobs ready to run - Have n 1 CPUs that can run them Which jobs should we assign to which CPU(s)? 1 / 42 Outline Textbook scheduling 1 2
653 views • 52 slides
CPU Scheduling Heechul Yun 1 Agenda Introduction to CPU scheduling Classical CPU scheduling algorithms 2 CPU Scheduling CPU scheduling is a policy to decide Which thread to run next? When to schedule the next thread? How
947 views • 59 slides
Automotive IP Cores: Challenges & Solutions D&R IP-SoC Days Shanghai Nikos Zervas CEO, CAST Inc. 1 Automotive IP Cores: Challenges & Solutions Data Center on Wheels Cameras 20-40 MB/sec GPS ~50 KB/sec Sensors 1 - 3 MB/sec
626 views • 15 slides
PROGRAMMING TENSOR CORES: NATIVE VOLTA TENSOR CORES WITH CUTLASS Andrew Kerr, Timmy Liu, Mostafa Hagog, Julien Demouth, John Tran March 20, 2019 PROGRAMMING TENSOR CORES IN CUDA mma.sync (new instruction in CUDA 10.1) Feeding the Data Path
615 views • 47 slides
Fused and Composable Heterogeneous Cores Roshan Nair and Anirudh Krishna Villivalam Single cores Fused/Composable cores Evolution!!! Core Fusion: Accommodating Software Diversity in Chip Multiprocessors Motivation Software Diversity
378 views • 25 slides
NVIDIA QUADRO RTX NVIDIA TURING GPU Turing SM RT Cores Turing SM RT Cores Up to 10 Giga Rays/sec Up to 16 TFLOPS + 16 TIPS Ray Triangle Intersection Concurrent FP & INT Execution BVH Traversal Unified L1 Cache Variable Rate Shading
510 views • 29 slides
CPU Scheduling Eric McCreath Introduction CPU scheduling is at the heart of a multiprogrammed operating system. The CPU scheduler maintains the list of ready processes and determines when and which process is to be allocated to a CPU. A
472 views • 8 slides
Lecture 16: Basic CPU Design Todays topics: Single-cycle CPU Multi-cycle CPU Reminder: Assignment 6 will be posted today due in a week 1 Basic MIPS Architecture Now that we understand clocks and storage of states,
349 views • 20 slides
1 1 COMP200 INTERFACES OOP using Java, from slides by Shayan Javed 2 Interfaces 3 ANIMAL picture food sleep() roam() makeNoise() eat() 4 ANIMAL picture food sleep() roam() makeNoise() eat() CANINE FELINE roam() roam() 5
971 views • 45 slides
A Supertag-Context Model for Weakly-Supervised CCG Parser Learning Dan Garrette U. Washington Chris Dyer CMU Jason Baldridge UT-Austin Noah A. Smith CMU Contributions 1. A new generative model for learning CCG parsers from weak
912 views • 65 slides
Announcements 61A Lecture 32 Reminder: John the Patriotic Dog Breeder Parents: E isenhower Joining Tables Parent Child create table parents as abraham barack select "abraham" as parent, "barack" as child union F illmore
78 views • 3 slides
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates Martine Ceberio, Olga Kosheleva, Luc Longpr e, and Vladik Kreinovich University of Texas at El Paso El Paso TX 79968, USA mceberio@utep.edu,
163 views • 14 slides
N, A, X- #1 Start N, A, X- #2 Finish N, A, X- #3 Halt Halt Sit N, A, X- #4 Halt Halt Sit Down N, A, X- #5 Right Turn N, A, X- #6 Left Turn N, A, X- #7 About Turn Right N, A, X- #8 About U Turn N, A, X- #9 270 o
1.05k views • 67 slides
Mark Hasegawa-Johnson, 3/2020 CS440/ECE448 Lecture 22: Including Slides by Svetlana Lazebnik, 10/2016 Linear Classifiers License: CC-BY 4.0 Linear Classifiers Classifiers Perceptron Linear classifiers in general Logistic
581 views • 45 slides
U.S. .S. Depar Department of tment of Housing Housing and and Urban De Urban Development elopment Office Of fice of of Hou Housing sing Couns Counseling eling Facilitated by Booth Management Consulting 7230 Lee Deforest Drive,
573 views • 46 slides
Assessing Combined Assurance Introducing composites of DOGWOOD and BIRCH/CEDAR in EGI and beyond David Groep Nikhef co-supported by the Dutch National e-Infrastructure coordinated by SURF, and by EGI Core Services EGI Combined Assurance
545 views • 18 slides
More recommend