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GPU Acceleration

111 articles · Page 2 of 2
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 12, 2019 · Artificial Intelligence

How Alibaba’s PAISoar Accelerates Deep Learning: 101× Speedup on 128 GPUs

Alibaba engineers detail the PAISoar distributed training framework, showing how RDMA‑optimized hardware, Ring AllReduce algorithms, and user‑friendly APIs boost deep‑learning models—like the GreenNet CNN—to 101‑fold speedups on 128 GPUs, dramatically reducing training time from days to under a day.

AI infrastructureDistributed TrainingGPU Acceleration
0 likes · 17 min read
How Alibaba’s PAISoar Accelerates Deep Learning: 101× Speedup on 128 GPUs
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 18, 2018 · Databases

Inside Alibaba AnalyticDB: Architecture, Core Technologies, and Real‑Time Data Warehouse Innovations

This article provides an in‑depth technical overview of Alibaba's AnalyticDB, covering the challenges of massive real‑time analytics, the cloud‑native multi‑tenant architecture, data model, import/export capabilities, high‑performance SQL parser, the Xuanwu storage engine, Xihe compute engine, optimizer, GPU acceleration, and elastic scaling features.

AnalyticDBDistributed ComputingGPU Acceleration
0 likes · 38 min read
Inside Alibaba AnalyticDB: Architecture, Core Technologies, and Real‑Time Data Warehouse Innovations
MaGe Linux Operations
MaGe Linux Operations
Nov 22, 2018 · Artificial Intelligence

Accelerating TensorFlow Deep Learning: GPU & Distributed Training Techniques

This article explains how to speed up TensorFlow deep‑learning model training using single‑GPU acceleration, multi‑GPU parallelism, and distributed TensorFlow on Kubernetes, covering device placement, session parameters, synchronous vs asynchronous training modes, and practical code examples to improve performance and scalability.

Distributed TrainingGPU AccelerationTensorFlow
0 likes · 10 min read
Accelerating TensorFlow Deep Learning: GPU & Distributed Training Techniques
Tencent TDS Service
Tencent TDS Service
Jul 12, 2018 · Artificial Intelligence

How to Engineer MobileNet for Efficient Image Classification on Mobile Devices

This article details the engineering of MobileNet V1 for image classification on mobile terminals, covering its depthwise separable convolution architecture, data collection and preprocessing, model training with transfer learning, TensorFlow Lite conversion, deployment on iOS/Android, and GPU acceleration techniques for faster inference.

GPU AccelerationMobileNetTensorFlow Lite
0 likes · 19 min read
How to Engineer MobileNet for Efficient Image Classification on Mobile Devices
21CTO
21CTO
Jan 29, 2018 · Fundamentals

How Tencent Cut Hundreds of Gigabytes of Bandwidth with Advanced Image Compression

This article reviews the evolution of image formats such as JPEG, WebP, HEVC, and Tencent's proprietary WXAM and SHARP, explains psychovisual JPEG optimization with Guetzli, details GPU‑accelerated performance tweaks, and shows how these techniques saved terabytes of bandwidth and reduced user download latency across Tencent's massive image platform.

Bandwidth ReductionGPU AccelerationGuetzli
0 likes · 14 min read
How Tencent Cut Hundreds of Gigabytes of Bandwidth with Advanced Image Compression
Tencent Architect
Tencent Architect
Jan 27, 2018 · Fundamentals

Advances in Image Compression: From JPEG to WebP, HEVC, WXAM, SHARP, and Guetzli Optimizations at Tencent TPS

The article reviews recent developments in image compression formats such as JPEG, WebP, HEVC, and Tencent's proprietary WXAM/SHARP, explains Guetzli's perceptual encoding, details extensive GPU‑based performance optimizations, and demonstrates how these techniques dramatically reduce bandwidth usage in Tencent's massive image storage platform.

GPU AccelerationGuetzliJPEG
0 likes · 13 min read
Advances in Image Compression: From JPEG to WebP, HEVC, WXAM, SHARP, and Guetzli Optimizations at Tencent TPS
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
Dec 7, 2017 · Frontend Development

How to Achieve Smooth 60 FPS Web Animations on Low‑End Devices

This article explains why 60 FPS is the benchmark for fluid web animations, shows how to measure frame rates with requestAnimationFrame, compares CSS and JavaScript animation performance on TV‑box hardware, and provides a step‑by‑step optimization guide using GPU acceleration, will‑change, and dev‑tools.

FrontendGPU AccelerationWeb animation
0 likes · 16 min read
How to Achieve Smooth 60 FPS Web Animations on Low‑End Devices
MaGe Linux Operations
MaGe Linux Operations
Apr 19, 2017 · Artificial Intelligence

Accelerate TensorFlow Deep Learning with GPU, Multi‑GPU, and Distributed Training

This article explains how to speed up TensorFlow deep‑learning model training by using a single GPU, configuring session parameters, assigning operations to specific devices, employing multi‑GPU parallelism, and leveraging distributed TensorFlow on Kubernetes, while also discussing synchronous versus asynchronous training modes and practical best practices.

Distributed TrainingGPU AccelerationTensorFlow
0 likes · 11 min read
Accelerate TensorFlow Deep Learning with GPU, Multi‑GPU, and Distributed Training
ITPUB
ITPUB
Sep 6, 2016 · Artificial Intelligence

Deep Learning Platforms: From Google’s DistBelief to Open‑Source MXNet and TensorFlow

The article reviews the evolution, challenges, and commercial and open‑source deep learning platforms—including DistBelief, COTS, Adam, MXNet, TensorFlow, and Petuum—while highlighting real‑world applications such as image recognition, recommendation, sentiment analysis, and crowd monitoring.

AI ApplicationsDistributed TrainingGPU Acceleration
0 likes · 10 min read
Deep Learning Platforms: From Google’s DistBelief to Open‑Source MXNet and TensorFlow
ITPUB
ITPUB
Jan 19, 2016 · Databases

Surprising PostgreSQL Features That Redefine What a Database Can Do

This article showcases seven remarkable PostgreSQL extensions—including multi‑master replication, Greenplum MPP OLAP, pg_shard/FDW sharding, PostGIS 3D GIS, GPU‑accelerated PG‑Strom, PipelineDB streaming, and the versatile FDW interface—illustrating how they enable high‑availability, massive analytics, geographic intelligence, and real‑time data processing.

Database ExtensionsFDWGIS
0 likes · 5 min read
Surprising PostgreSQL Features That Redefine What a Database Can Do