Books > Subjects > Computers & Technology > Programming > Parallel Programming
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AUTOMATIC PARALLELIZATION FOR A CLASS OF REGULAR COMPUTATIONS
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Persistence Best Practices for Java Applications: Effective strategies for distributed cloud-native applications and data-driven modernization
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Rust Programming for AI and CUDA: Master High-Performance Machine Learning with Safe GPU Kernels, Inference, and Scalable Training
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SLURM FOR AI AND DEEP LEARNING: GPU CLUSTER MANAGEMENT AND DISTRIBUTED TRAINING: SCHEDULE PYTORCH, TENSORFLOW, AND MULTI-NODE LLM WORKLOADS WITH JOB QUEUING AND RESOURCE OPTIMIZATION
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Python Threading Jump-Start: Develop Concurrent IO-bound Programs And Work With The GIL (Python Concurrency Jump-Start Series)
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Concurrent Data Processing in Elixir: Fast, Resilient Applications with OTP, GenStage, Flow, and Broadway
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Rust All-in-One For Dummies
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Game Engine Gems 2
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.NET Crash Course + Interview Preparation: Core .NET 10, C# 14, Internals, Concurrency, and SDK Essentials for Technical Interviews
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Building a Blockchain and Applications with Cosmos: A Step by Step guide to Token Economics, Engineering, and Development of Blockchain and Applications
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