📌 2023. 12. 22 금요일 https://www.kiise.or.kr/conference/KSC/2023/ 한국정보과학회 - 학술대회 홈페이지 www.kiise.or.kr 📃 부산에서 열린 학회에서 포스터 발표를 했답니다. 🔥 아침까지 마감 달리다가 후다닥 벡스코로 향했습니다. 숙소에서 횡단보도 하나 건너면 도착 🚥 🤵‍♀️(9:00 ~ 10:30) 평가하시는 교수님한테 발표하고, 피드백 받은 다음, 내 자리에 서 있으면 종종 다른 분들이 설명해달라고 오신다! 가끔은 포스터 사진도 찍어가시는데, "아아, 넵넵" 하고 가만히 서있었지만 . 사실 엄청 뿌듯했답니다 , , :) 머쓱 🏨 방도 못 치우고 나와서, 바로 숙소로 돌아가서 체크아웃 마치고 밥 먹으러 서면으로 나왔슈 ❄️ 분명 . 한겨울에도 따..

2025. 10. 29. Wednesday 📌 TODOLIST - quantization 적용 더 알아보기 (float -> int) - dpu 2nd tasklet error debugging - embedding 차원 조절하기 (tasklet >= 16)

2025. 09. 30. 화요일

2025. 10. 29. Wednesday

1. history of blockchain - The Genesis Block of Bitcoin - Genesis block = 블록체인 최초의 0번 블록 : 사토시나카모토, 중앙은행, 정부의 무능으로부터 자유로운 탈중앙화 화폐 - “The Times 03/Jan/2009 Chancellor on brink of second bailout for banks.” 2. Blockchain Technologies * 합의 모델 : 분산 컴퓨팅에서의 고전적 문제- faulty = 나쁜놈, 이상한 놈이 섞인 환경 -> 어떻게 합의(같은 값)에 도달? - 비잔틴 장군의 문제 = 2/3 이상의 장군들 충성 -> N >= 3f + 1 - PBFT..

2025. 10. 29. Wednesday 📌 TODOLIST - quantization 적용 더 알아보기 (float -> int) - dpu 2nd tasklet error debugging - embedding 차원 조절하기 (tasklet >= 16)

2025. 10. 11. SaturdayUPMEM Official Example Review

2025. 10. 10. Friday다음주 랩미팅 준비: Code Review · 구현 📌 참고자료 - UPMEM SDK: https://sdk.upmem.com/stable/030_DPURuntimeService_Tasklets.html- UPMEM Naive-GEMM: https://github.com/hhessammheidary/UPMEM-GEMM 📌 TODOLIST- UPMEM Checksum example Code Review- PIM Embedding Lookup(Python Wrapper) - MHA Implementation

2025. 10. 01. 수요일

2025. 09. 30. 화요일

UPMEM Hello World! Examplehttps://sdk.upmem.com/stable/02_HelloWorld.html Hello World! Example — UPMEM DPU SDK 2025.1.0 Documentation© Copyright 2015-2024, UPMEM SAS - All rights reserved.sdk.upmem.com 0. UPMEM SDK 설치하기 https://sdk.upmem.com UPMEM DPU SDKUPMEM SDK The Software Development Kit for programming and using the DPU provided by the UPMEM Acceleration platform.sdk.upmem.com tar -..

PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing Systemhttps://arxiv.org/abs/2502.15470 PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing SystemLarge language models (LLMs) are widely used for natural language understanding and text generation. An LLM model relies ..

Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Servinghttps://github.com/casys-kaist/pimba GitHub - casys-kaist/pimba: Official code repository for "Pimba: A Processing-in-Memory Acceleration for Post-Transformer LargeOfficial code repository for "Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving [MICRO'25]" - casys..

Accelerating LLMs using an Efficient GEMM Library and Target-Aware Optimizations on Real-World PIM Devices * TVM = deep learning compiler frameworkApache TVM is a machine learning compilation framework, following the principle of Python-first development and universal deployment. It takes in pre-trained machine learning models, compiles and generates deployable modules that can be embedded and..

2025. 06. 20 금요일

2025. 06. 10. 화요일 📌 TODOLIST- FLIP PROB 0.00001 수준으로 줄이기- 동일한 rate에서 100회 반복 후 통계 - 값이 보존 or 변경 여부로 그래프 - random seed 변경하도록 구현

2025. 06. 05. 목요일

2025. 05. 27. Tuesday

2025. 05. 20. 화요일 Paper: https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0435518 Offloading embedding lookups to processing-in-memory for deep learning recommender modelsRecommender systems are an essential part of many industries and businesses. Generating accurate recommendations is critical for user engagement and business revenue. Currently, deep learning recomme..

2025. 05. 13. PIM · TFLite 랩미팅 👩‍💻 📌 다음 시간까지 어떻게 나뉘어서 올라가는지 알고리즘 구현 조사하기https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0435518 Offloading embedding lookups to processing-in-memory for deep learning recommender modelsAbstract Recommender systems are an essential part of many industries and businesses. Generating accurate recommendations is critical for user engagement..

PA2: System Call System calls are interfaces that allow user applications to request various services from the operating system kernel. This project aims to explore and understand how system calls are implemented in the xv6 operating system.git-hub: https://github.com/snu-csl/os-pa2/ 📌 start.cxv6 kernel boot up code 리눅스 커널의 초기화 과정을 담당 커널이 부팅될 때 가장 먼저 실행되어, 초기 환경을 설정#include "types.h"#include..

0402 WednesdayTensorFlow Lite RISC-V Cross Compile set(CMAKE_SYSTEM_NAME Linux)set(CMAKE_SYSTEM_PROCESSOR riscv32)# riscv32-glibc-ubuntu-22.04-llvm-nightly-2025.01.20-nightly.tar.xz # 툴체인 경로 설정 # /home/sohyun/toolchains/riscv/sysrootset(triple riscv32-unknown-linux-gnu)set(toolchain /home/sohyun/toolchains/riscv)set(CMAKE_SYSROOT ${toolchain}/sysroot)set(CMAKE_C_COMPILER ${toolchain}/bin/${tri..

A Portable and Fault-Tolerant Microprocessor Based on the SPARC V8 Architecturehttps://ieeexplore.ieee.org/document/1028926 A portable and fault-tolerant microprocessor based on the SPARC v8 architectureThe architecture and implementation of the LEON-FT processor is presented. LEON-FT is a fault-tolerant 32 bit processor based on the SPARC V8 instruction set. The processors tolerates transient S..