Top Tweets for #30DaysOfRay
As part of #30DaysOfRay, we are on Day 11. In this post, I explore how you can achieve execution concurrency w/ @raydistributed actors via two mechanisms. Check it out.
#ray #distributedcomputing #python #rayrocks
https://t.co/kqezjIt4oa
Day 10 of #30DaysOfRay explores using @raydistributed Runtime Environments on a #Ray cluster. For example, your #Ray Python application may:
π Import or depend on some Python packages or modules not installed on your cluster
#python #ray #distributedcomputing
π
I just published Day 9 of #30DaysOfRay: Tips and Tricks for @raydistributed APIs https://t.co/Saxq2WQTTR
π "Ray Tune Lessons in @raydistributed @anyscalecompute Academy." New lessons w/ illustrative diagrams, discussions, data flow & links to documentation. Check it out, let me know.
https://t.co/bgSokvh3rC
#30DaysOfRay #raytune #HPO #machinelearning #distributedcomputing
Day 7:Do you ask these questions?
β
What are hyperparameters for a model?
β
What is the difference between model parameters and hyperparameters?
β
How to efficiently search the parameters space to obtain the best configuration for the most performant model?
#30DaysOfRay
π
Are you the one who likes to pop up a hood or lift the curtain and peek at the internals? Trace data paths & flows in a cluster, understand protocol strategies, examine optimization techniques, & grasp @raydistributed 's magic behind the scenes?
#30DaysOfRay #rayrocks

@deanwampler takes you through a crash course on @raydistributed core concepts: functions, tasks, actors & iterators, multi-processing w/Rayβs drop-in multi-processing libraries. Learn why use Ray & what problems it solves:
π https://t.co/hsuHNk4lXX
#30daysOfRay, #RayRocks
π @pacoid gives a gentle introduction to @raydistributed, by providing a historical perspective of the evolution of #cloudcomputing, what led to Ray. Learn about distributed design patterns related to Ray core concepts.
π https://t.co/LazLOXCldr
#30DaysOfRay #RayRocks
Day 3 of #30DaysOfRay. No better or faster way for a developer to start learning @raydistributed than plunge oneself into the thick of things. @pacoid & @deanwampler, two prominent speakers & educators, provide tutorials. Their commentary-infused references adds depth & scope
π A Deep Dive into Rayβs Scheduling Policy. Alex Wu guides us through different schedulers & policies. How @raydistributed elects to optimize its tasks scheduling policies to meet general distributed computing requirements.
https://t.co/8g179jm5wP
#30daysOfRay, #RayRocks
π @raydistributed Internals: Object management w/Ownership Model. Stephanie Wang & Yi Cheng describe & justify the Ownership Model in Ray 1.x:
https://t.co/gGfSWh2Ucp #30daysOfRay
How does @raydistributed do it?How are futures or object references managed, shared, dereferenced or deallocated? What scheduling policy does Ray employ? In these three enlightening deep dives. @anyscalecompute engineers raise the curtain to reveal the mystery. π
#30daysOfRay
No need to reason about fault tolerance, performance, memory management, elasticity, or complex coordination, communication, or scheduling of tasks. You focus on only building #ML library, using simple primitives, while @raydistributed handles the complexities. #30DaysOfRay.
π "From Cloud Computing to Sky Computing" Moonshot vision, from Ion Stoica & Scott Shenker, considers the future of cloud computing & the challenges to overcome as an imagined public utilitarian commodity called Sky computing.β
https://t.co/B5x6JvXOph
#30daysOfRay
π Experience the Power of the βInfinite Laptop with @raydistributed & @anyscalecompute: Ray Summit keynote demo from Edward Oakes
https://t.co/kYEkbTZenw
#30daysOfRay, #RayRocks, #DistributedComputing
π "Making Distributed Computing Easy": Ray Summit keynote from Ion Stoica, co-founder, president and chairman of @anyscalecompute
https://t.co/sNKclS95cu
#30daysOfRay, #RayRocks, #DistributedComputing
Join me in my #30daysOfRay edification as I learn and share Ray talks, blogs, code snippets, tutorials, documentation, future Ray meetups or conferences. Please share them, join the slack channel, visit our GitHub, & share your concerns on our forum: https://t.co/VPJrImltaw
Day 1 of #30DaysOfRay I started a new endeavor in my developer advocacy career at @anyscalecompute, the company behind @raydistributed, the open source project from @UCBerkeley @ucbrise. Ray makes distributed programming on clusters as easy as programming your laptops.
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