kevin30292

@kevinlin30292

Joined on Sep 25, 2019

  • Paper Term LLVM https://llvm.org/ LLVM IR https://blog.gopheracademy.com/advent-2018/llvm-ir-and-go/ LLVM IR is a low-level intermediate representation used by the LLVM compiler framework. You can think of LLVM IR as a ==platform-independent assembly language== with an infinite number of function local registers. SSA https://www.geeksforgeeks.org/static-single-assignment-with-relevant-examples/
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  • Mar 11 to Mar 19 CheckList [x] airlines UA $598 [x] airB&B [x] rental car [x] park ticket California National Park Sequoia
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  • Tampa Tarpon Springs Sponge Docks 735 Dodecanese Blvd, Tarpon Springs, FL 34689 Shells Seafood Restaurant $$ 202 S Dale Mabry Hwy, Tampa, FL 33609 https://goo.gl/maps/1npaAUwccFYCUaHU9 google maps ==4.5== (2700) Menu
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  • Question Investigate two options highlighting the major concepts and components needed for it. https://pytorch.org/tutorials/beginner/dist_overview.html Distributed Data-Parallel Training (DDP) It is a single-program multiple-data training paradigm. The model is replicated on every GPUs, and every GPUs will train different set data. It need communicaiton to synchronize the gradients, thus this approach need some libraries to perfrom allreduce and brodcast operation. such as NCCL, gloo or some MPI libraries. It will only support data parallelism, but it is the easiest way to do distributed training. RPC-Based Distributed Training (RPC)
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  • run training by horovod dist command README Once on the shell, copy scripts and readme file to your lab1 directory mkdir ~/hands-on-2/ cp -r /fs/ess/PAS2312/owens/hands-on-2/* ~/hands-on-2/
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  • From 2022 OSU CSE5449 Lab 1 Unlimited Attempts Allowed The lab has the following tasks. Setup and Login Login to Owens (OSC) cluster with your accounts and learn how to allocate nodes. You can allocate nodes with CPU only as well as nodes with GPUs. Login:
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  • contributed by < kevin30292 > code GitHub function 功能 queue.c 僅提供介面但尚未有完整程式實作,需要補完並逐步精進,包含以下: q_new: 建立新的「空」佇列; q_free: 釋放佇列所佔用的記憶體; q_insert_head: 在佇列開頭 (head) 加入 (insert) 給定的新元素 (以 LIFO 準則); q_insert_tail: 在佇列尾端 (tail) 加入 (insert) 給定的新元素 (以 FIFO 準則);
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  • contributed by < kevin30292 > ==Requirement== [x] Don’t implement the same subject as others do. Your program shall be different. [x] Your program(s) MUST contain loops (or recursive calls) and conditional branches. [x] You have to ensure the program fully functioned with Ripes simulator. [x] Explain your program with the visualization for multiplexer input selection, register write/enable signals and more. [x] Illustrate each stage such as IF, ID, IE, MEM, and WB. [x] Discuss the steps of memory updates accordingly.
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