HNTS03's Blog
About Me
Posts
Tags
Computer Science
Computer Architecture
GPU Architecture
RTL
C / C++
Python
CUDA / NVIDIA GPU
ROCm / AMD GPU
Metal / Apple Silicon
SYCL / Intel GPU
AI / LLM
HPC / Network
Simulation
Project
Search
✕
Tags
Lang:
한국어
English
AI (18)
AMD (16)
ARM (4)
AdaLovelace (2)
Ampere (2)
Architecture (46)
Attention (2)
Blackwell (2)
CDNA (8)
CPU (12)
CUDA (18)
CXL (2)
Computer-Architecture (48)
GPU (40)
GPU-Cluster (2)
Grace (2)
HPC (16)
Hopper (2)
Inference (4)
InfiniBand (2)
Interconnect (2)
Kepler (2)
Knowledge-Base (2)
LLM (16)
Maxwell (2)
Memory (2)
MoE (4)
NCCL (2)
NVIDIA (22)
NVLink (6)
Network (2)
Open-Weight (2)
PagedAttention (2)
Paper-Review (8)
Parallelism (2)
Pascal (2)
Pipeline (4)
RAG (2)
RDMA (2)
RDNA (10)
RISC-V (8)
ROCm (10)
RayTracing (4)
RoCE (2)
Rubin (2)
SGLang (2)
SIMT (2)
Serving (2)
TensorCore (12)
TensorRT-LLM (2)
Transformer (4)
Turing (2)
Vera (2)
Volta (2)
vLLM (4)
지식 베이스 구축: Cerebras 사례와 실전 목업
July 28, 2026
Building a Knowledge Base: Lessons from Cerebras and a Tested Mockup
July 28, 2026
RISC-V CPU #4: 파이프라인 심화, 해저드와 분기 예측
July 22, 2026
RISC-V CPU #4: The Pipeline in Depth — Hazards and Branch Prediction
July 22, 2026
RISC-V CPU #3: 파이프라인의 거시 구조
July 21, 2026
RISC-V CPU #3: The Macro Structure of the Pipeline
July 21, 2026
논문 리뷰: LatentMoE, FLOP·파라미터당 정확도를 끌어올리는 MoE
July 21, 2026
Paper Review: LatentMoE — Raising Accuracy per FLOP and Parameter in MoE
July 21, 2026
Kimi K3 분석: 2.8조 파라미터 오픈웨이트 MoE, 어디까지 왔나
July 21, 2026
Analyzing Kimi K3: A 2.8-Trillion-Parameter Open-Weight MoE, How Far Has It Come
July 21, 2026
논문 리뷰: Kimi Delta Attention, 선형 어텐션이 전체 어텐션을 넘다
July 21, 2026
Paper Review: Kimi Delta Attention — When Linear Attention Surpasses Full Attention
July 21, 2026
논문 리뷰: Attention Residuals, 잔차 연결을 학습된 어텐션으로
July 21, 2026
Paper Review: Attention Residuals — Turning the Residual Connection into Learned Attention
July 21, 2026
논문 리뷰: TaiChi, Prefill-Decode 통합으로 Goodput을 최적화하다
July 20, 2026
Paper Review: TaiChi — Unifying Prefill-Decode for Goodput-Optimized LLM Serving
July 20, 2026
RISC-V CPU #2: Instruction이란
July 20, 2026
RISC-V CPU #2: What Is an Instruction
July 20, 2026
RISC-V CPU #1: RISC-V란 무엇인가
July 19, 2026
RISC-V CPU #1: What Is RISC-V?
July 19, 2026
AMD GPU 아키텍처 #7: CDNA 3
July 16, 2026
AMD GPU Architecture #7: CDNA 3
July 16, 2026
AMD GPU 아키텍처 #6: CDNA 2
July 15, 2026
AMD GPU Architecture #6: CDNA 2
July 15, 2026
AMD GPU 아키텍처 #5: CDNA 1
July 15, 2026
AMD GPU Architecture #5: CDNA 1
July 15, 2026
AMD GPU 아키텍처 #4: RDNA 4
July 13, 2026
AMD GPU Architecture #4: RDNA 4
July 13, 2026
AMD GPU 아키텍처 #3: RDNA 3
July 13, 2026
AMD GPU Architecture #3: RDNA 3
July 13, 2026
AMD GPU 아키텍처 #2: RDNA 2
July 13, 2026
AMD GPU Architecture #2: RDNA 2
July 13, 2026
Vera CPU / Rubin GPU: GTC 2025 공개 내용 정리
July 9, 2026
Vera CPU / Rubin GPU: What NVIDIA Announced at GTC 2025
July 9, 2026
AMD GPU 아키텍처 계보: RDNA와 CDNA
July 9, 2026
AMD GPU Architecture Lineage: RDNA and CDNA
July 9, 2026
AMD GPU 아키텍처 #1: RDNA 1
July 9, 2026
AMD GPU Architecture #1: RDNA 1
July 9, 2026
GPU 아키텍처 #9: Blackwell - FP4 Tensor Core와 멀티다이 설계
July 8, 2026
GPU Architecture #9: Blackwell — FP4 Tensor Cores and Multi-Die Design
July 8, 2026
CXL이란 무엇인가 - Compute Express Link 개요
July 8, 2026
What is CXL? — Compute Express Link Overview
July 8, 2026
Grace CPU 아키텍처: NVIDIA의 첫 데이터센터 CPU
July 8, 2026
Grace CPU Architecture: NVIDIA's First Datacenter CPU
July 8, 2026
InfiniBand와 RoCE: GPU 클러스터 고속 네트워크의 기반
July 7, 2026
InfiniBand and RoCE — The Network Foundation of GPU Clusters
July 7, 2026
GPU 아키텍처 #8: Ada Lovelace - 3세대 RT Core와 96MB L2
July 7, 2026
GPU Architecture #8: Ada Lovelace — 3rd-Gen RT Cores and 96MB L2
July 7, 2026
GPU 아키텍처 #7: Hopper - Transformer Engine과 FP8
July 7, 2026
GPU Architecture #7: Hopper — Transformer Engine and FP8
July 7, 2026
GPU 아키텍처 #6: Ampere - Sparsity 가속과 MIG
July 7, 2026
GPU Architecture #6: Ampere — Sparsity Acceleration and MIG
July 7, 2026
GPU 아키텍처 #5: Turing - RT Core와 2세대 Tensor Core
July 7, 2026
GPU Architecture #5: Turing — RT Cores and 2nd-Gen Tensor Cores
July 7, 2026
GPU 아키텍처 #4: Volta - Tensor Core와 독립 스레드 스케줄링
July 7, 2026
GPU Architecture #4: Volta — Tensor Cores and Independent Thread Scheduling
July 7, 2026
GPU 아키텍처 #3: Pascal - 16nm, HBM2, NVLink
July 7, 2026
GPU Architecture #3: Pascal — 16nm, HBM2, NVLink
July 7, 2026
GPU 아키텍처 #2: Kepler와 Maxwell - 효율성의 탐구
July 6, 2026
GPU Architecture #2: Kepler and Maxwell — The Pursuit of Efficiency
July 6, 2026
LLM 서빙 프레임워크 #1: vLLM 심층 분석
June 22, 2026
LLM Serving Frameworks #1: Deep Dive into vLLM
June 22, 2026
LLM 서빙 프레임워크 개요: vLLM, SGLang, TensorRT-LLM
June 19, 2026
LLM Serving Frameworks Overview: vLLM, SGLang, TensorRT-LLM
June 19, 2026
GPU 아키텍처 #1: GPU의 출발과 SIMT의 탄생
April 12, 2026
GPU Architecture Series #1: The Origin of GPU and the Birth of SIMT
April 12, 2026
No posts found.