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Latest from Tencent Architect

51 recent articles
Tencent Architect
Tencent Architect
Nov 13, 2017 · Artificial Intelligence

Survey of Bandwidth Optimization Techniques in AI Accelerators

This article reviews various architectural strategies—including streaming processing, on‑chip memory optimization, bit‑width compression, sparsity techniques, on‑chip models with chip‑level interconnects, and emerging technologies such as binary networks, memristors, and HBM—to alleviate bandwidth bottlenecks in FPGA/ASIC/TPU AI accelerators.

AIASICAccelerators
0 likes · 20 min read
Survey of Bandwidth Optimization Techniques in AI Accelerators
Tencent Architect
Tencent Architect
Nov 9, 2017 · Artificial Intelligence

Why General‑Purpose CPUs Are Inefficient for Deep Learning: Heterogeneous Computing and AI Processor Design

The article analyzes the limitations of general‑purpose CPUs for deep‑learning workloads, explains how semiconductor scaling and memory‑bandwidth constraints drive the shift toward specialized heterogeneous processors such as GPUs, FPGAs, and ASICs, and discusses the design trade‑offs of embedded versus cloud AI accelerators.

AIASICCPU
0 likes · 13 min read
Why General‑Purpose CPUs Are Inefficient for Deep Learning: Heterogeneous Computing and AI Processor Design
Tencent Architect
Tencent Architect
Oct 20, 2017 · Artificial Intelligence

Design and Performance of a General‑Purpose FPGA CNN Accelerator for Real‑Time AI Services

This article presents a comprehensive overview of a universal FPGA‑based CNN accelerator, detailing its motivation, flexible architecture, compiler workflow, memory and compute unit designs, and performance comparisons that demonstrate significant latency and cost advantages over CPU and GPU solutions for real‑time AI inference.

AI inferenceCNN accelerationFPGA
0 likes · 13 min read
Design and Performance of a General‑Purpose FPGA CNN Accelerator for Real‑Time AI Services
Tencent Architect
Tencent Architect
Jul 28, 2017 · Cloud Computing

Evolution and Architecture of Tencent Cloud Block Service (CBS): From CBS1.0 to CBS3.0

This article outlines the development of Tencent Cloud Block Service, describing the transition from the monolithic CBS1.0 through the streamlined CBS2.0 to the two‑layer CBS3.0 architecture, and discusses the design choices, operational challenges, performance optimizations, and industry comparison with Ceph.

Architectureblock servicecloud storage
0 likes · 11 min read
Evolution and Architecture of Tencent Cloud Block Service (CBS): From CBS1.0 to CBS3.0
Tencent Architect
Tencent Architect
Apr 13, 2017 · Databases

Overview of Tencent's TXSQL: Custom MySQL Kernel Enhancements, Performance Optimizations, and Feature Additions

The article provides a comprehensive overview of TXSQL, Tencent's heavily customized MySQL kernel, detailing its motivations, version choices, performance improvements such as read‑view and redo‑log optimizations, added functionalities like multi‑mode operation and distributed locks, stability testing, financial‑grade features, benchmark results against official MySQL releases, upcoming support for MySQL 5.7, and future development directions.

Cloud DatabaseDatabase EngineMySQL
0 likes · 22 min read
Overview of Tencent's TXSQL: Custom MySQL Kernel Enhancements, Performance Optimizations, and Feature Additions
Tencent Architect
Tencent Architect
Apr 12, 2017 · Databases

Tencent File System (TFS): Architecture, 3D Indexing, High‑Performance Key‑Value Store, and Storage Engines

The article details Tencent File System (TFS), describing its platform components, 3D indexing techniques, high‑performance key‑value storage (TSSD) with MHT, dual‑read and smooth scaling mechanisms, hybrid index storage, host‑level FTL, Append‑Only and erasure‑coding storage engines, and how these innovations deliver scalable, low‑cost, high‑performance data storage for massive workloads.

Key-ValueSSDTFS
0 likes · 12 min read
Tencent File System (TFS): Architecture, 3D Indexing, High‑Performance Key‑Value Store, and Storage Engines