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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Proposed Multi-Thread Parallel" (30 stories)

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Proposed Multi-Thread Parallel Compilation "MTPC" For LLVM Is Great News
Lead StoryPhoronixgeneral
May 22

Proposed Multi-Thread Parallel Compilation "MTPC" For LLVM Is Great News

<a href="https://news.google.com/rss/articles/CBMiZ0FVX3lxTE5RWW1pT1ZWWHVGOGx0Tkw4RkZtLTJOczVFVm5hcnB3Y0hsemZWQ2xYS3o5NnhDSnU4RjcydlFNV0E1SjI4Tk5MY3ZETmRiSEk5dThCaVN6SDB1MGUwWUcxWnBMV00zU0k?oc=5" target="_blank">Proposed Multi-Thread Parallel Compilation "MTPC" For LLVM Is Great News</a>  <font color="#6f6f6f">Phoronix</font>

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Search Results for "Proposed Multi-Thread Parallel"

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29 stories displayed
Anthropic launches Claude Code Projects, an ‘always-on’ conversation that remembers and delegates your long-running dev work
VentureBeatworld

Anthropic launches Claude Code Projects, an ‘always-on’ conversation that remembers and delegates your long-running dev work

<a href="https://news.google.com/rss/articles/CBMi8AFBVV95cUxPbzFBR1I0TUFsdkpnMFY2amNCMzJuRFlxS2tCZ1JiWEFhOVl0WkJBU1pBSkZha0hHWEdMYTFGc201QmtVUGFFU2VnQUh2UW9ucHp5V1Y2Uk10WlBWbjdvYTBjX0JfTDB2MUJDMnFRNkstUG9iNU1hQnV0TXJDcHhhbkdKenEyMVREQ3BVMzdEdnlEN1VKLXpGQXRMRTJGMHlLSzY1TUZSeWEyU0pqMy1SX20wRHJIVTgwZXpqWHVLY184Y09GS0M1M2VCU29ZN1JjYWNGelUya0NmOGxkdVRubnVGM21SM0t1OTJNUmZLbFI?oc=5" target="_blank">Anthropic launches Claude Code Projects, an ‘always-on’ conversation that remembers and delegates your long-running dev work</a>  <font color="#6f6f6f">VentureBeat</font>

Graph convolutional network-based multi-threaded mixing Mamba transformer for traffic forecasting
ScienceDirect.comgeneral

Graph convolutional network-based multi-threaded mixing Mamba transformer for traffic forecasting

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTFAyWkRoRkpLclNaOTFPRC1WRERKNnRaTlRZRVh4dkRQOXJtekxjTDh1RVdKRFB2ZnJtVWtRV01mcUZILUVtZGI5Q01KTTk5c01QS090UEFTbzF0VEVpRjBXMlNVdXlEWXd4QTlsOGthZ080SXcweVY0TjhpOA?oc=5" target="_blank">Graph convolutional network-based multi-threaded mixing Mamba transformer for traffic forecasting</a>  <font color="#6f6f6f">ScienceDirect.com</font>

Claude Code Launches Projects: Splitting Conversations into Parallel Threads, with Tasks Continuing Even After Closing the Laptop
富途牛牛world

Claude Code Launches Projects: Splitting Conversations into Parallel Threads, with Tasks Continuing Even After Closing the Laptop

<a href="https://news.google.com/rss/articles/CBMivgFBVV95cUxPR1lZUHJNRTZjb2tJRkdwTmNOWXhQaWZVQ2xLa1FNOWtPVVQ2QTNzRDdobDFGRm80clFCeXl0enBuWXRnRTZwY3dRTXhmWmY4dXNUQzVnTkZVWHZIUTVFVjdxQ0d0dm1iSXpzSXhHOHQ3cllNZlZ4U0M0T09kYmRfWHZSU3VsSDIzNjQ1aGpOX3RqbTdLb3BvN3lMakQ0YXVleW9iSU43MlpDOVc3XzQ5WmhzS3Vyb2tsQklMdktB?oc=5" target="_blank">Claude Code Launches Projects: Splitting Conversations into Parallel Threads, with Tasks Continuing Even After Closing the Laptop</a>  <font color="#6f6f6f">富途牛牛</font>

Optimizing Compute-Intensive Serverless Workloads with Multi-threaded Rust on AWS Lambda
Amazon Web Services (AWS)general

Optimizing Compute-Intensive Serverless Workloads with Multi-threaded Rust on AWS Lambda

<a href="https://news.google.com/rss/articles/CBMixAFBVV95cUxPSkhVRmhsNjN5dlZXNnVFdnV3aU9ickRTdkFKTi13SDJlSHNzYWM0WHhzci14S2Q0c0x1OFBRZVpiUmxjZ1d2djBMVnZUSTNTb1k5TFlRM1FzNnpyUm1LMXRVTElpRmNJaDUybzcyY3BSbW8wOU1sNy01bzZtcF9TT1lkTWd3dFI5TktYejk2RmNMem9yMF83VGwwSGtZa3dzblZ2OXhyR296NjRxNE5xR1FKUU1lem5qUjBKQ1RUdmlvWDRv?oc=5" target="_blank">Optimizing Compute-Intensive Serverless Workloads with Multi-threaded Rust on AWS Lambda</a>  <font color="#6f6f6f">Amazon Web Services (AWS)</font>

Research on parallel computing of the olfactory neural network based on multithreading
Naturegeneral

Research on parallel computing of the olfactory neural network based on multithreading

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9IcENOOWZqdUhwd3lQNEQ5WXhQeHpwTnZDZXhubDkwWDJpTm9RUmtvN1FQbzVrRHpWdFVjelFuUWtpMm5KcnVBNlRzTURCcFZPRkhTN25JelRpa3BLN3BZ?oc=5" target="_blank">Research on parallel computing of the olfactory neural network based on multithreading</a>  <font color="#6f6f6f">Nature</font>

Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming
The Association for the Advancement of Artificial Intelligencetech

Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE10N3Y4dnZVZUhNamtjTnhxLWhlcjMtNThIVkdKeVNXRkFSRkp6TmkzbEUyb3p0cm9uUXA4ZGRfVGI2OHJoOXFRTWVTaHNEVUJyMWtMN0M1TmFNY1ExTTFxa3RmTEc?oc=5" target="_blank">Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Node.js multithreading with worker threads: pros and cons
Snykgeneral

Node.js multithreading with worker threads: pros and cons

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTFBfdTFCTjNsalVhNVBFZ1huT2gzcmFkUlNvUm9ULTlpREt0VW0tMGN3eDlDX0NKcFJXLWNHeWJwVmg2Y182aWVqTHkzU0pUcDZyRXU3b1ZfOE41dFowQzktaVl4ZHBjTGxWSjUxR3dxQjhPdGQzZm8yNg?oc=5" target="_blank">Node.js multithreading with worker threads: pros and cons</a>  <font color="#6f6f6f">Snyk</font>

Improved Data Loading with Threads | NVIDIA Technical Blog
NVIDIA Developertech

Improved Data Loading with Threads | NVIDIA Technical Blog

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE1UNUcxVTJ0VXFLREpFRDZ2NGhFX3hnZDU0V1M2QlZnb3RkekdGd0V5cC1KN1B5SUctRWV6UndKazEzOFA3a2tsbGdnbkgwM3h5QlExQjdCMWJPVVZtRW5EVWpXSFJZa1JXU0JMZWd5T01XRFlMZk1WWA?oc=5" target="_blank">Improved Data Loading with Threads | NVIDIA Technical Blog</a>  <font color="#6f6f6f">NVIDIA Developer</font>

How To Make Your Python Code Run Faster - 1st Installment
Towards Data Scienceworld

How To Make Your Python Code Run Faster - 1st Installment

<a href="https://news.google.com/rss/articles/CBMiswFBVV95cUxQTThOcXBnZWpmTzZBOXpCOFh0U1ZWWThlU1hScE1SdWtPb2NoNEYwR2l2S3lDT1pmNFh5Y1Z6OWRJcS0yN0xoREdvOUU5Qk03Wl85ZWJMbXVocmxvSlpvQ3JNS3d1RHRCMGZqQkRIdlRuS3FGYjFNdUlrdzExUTU3b1JkT1RqUkxId0dMNThUajQ2dHJSSk5ibk1feXgzVEN6WFJxY2p0OG56WkdaNlZMaTJSbw?oc=5" target="_blank">How To Make Your Python Code Run Faster - 1st Installment</a>  <font color="#6f6f6f">Towards Data Science</font>

Making Parallel Programs Reliable with Stable Multithreading
Communications of the ACMgeneral

Making Parallel Programs Reliable with Stable Multithreading

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxObjZ4MkhUMDlpc2pMR0Mtb0I4azgyRmtGbVFkcEpEU0I2ZEJPZE03V0F1Q253Sk83TWtLZVhMNFJyNWh0Y3FILVpSV0hyaTRkVDRrd0NXREp3SUd1TXl2U292OUtZajREQzcxcnNJRmlobXlUM3E1ZDBXY2R1dVgydlEydHJjVnBqYXFjb19nRWdqd1lEYlE?oc=5" target="_blank">Making Parallel Programs Reliable with Stable Multithreading</a>  <font color="#6f6f6f">Communications of the ACM</font>

Speed up your queries with Neo4j’s new parallel runtime
Neo4jworld

Speed up your queries with Neo4j’s new parallel runtime

<a href="https://news.google.com/rss/articles/CBMifkFVX3lxTE5qTXdUNzZ0LVhxb0hEUUI5RndkUFBheU4zNTBuS0NXV19McmtCYVJvT0NWYVdTeU8wVTNqa1JnRWtHeW5mbHZsVTdNaFZna0dORVR2QklNdGl0ckRjUklpRy0xYUtTVzRyalZkTHU4WmtzdVhFSVF0NHVRa0tDdw?oc=5" target="_blank">Speed up your queries with Neo4j’s new parallel runtime</a>  <font color="#6f6f6f">Neo4j</font>

LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers Introduce Adaptive Parallel Reasoning to Scale Inference Efficiently Without Exceeding Context Windows
MarkTechPostgeneral

LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers Introduce Adaptive Parallel Reasoning to Scale Inference Efficiently Without Exceeding Context Windows

<a href="https://news.google.com/rss/articles/CBMisgJBVV95cUxOQVlmdGRHbFY4cllvcXpMR2FjS3RjOUlkWTN5b2pzRU9tRnIxT3pkVWN5WnRDS05FX2Y3ZHlyQlFfeERYQmFYXzdrYXl2eU5Pc0gyVWdoNHNnLVVleGptVE1yb3liay1kSkZDSVJTeU9yMFNUSS1sY0UzWFFYOFNxVHRKY2tTelI0SHBTcGdyRWhKdnAyR01kTEVQXy1rNXgxLTdkLUJMTXhXVjJNWi04UHBFdFQxV1p6RWtxdWlHWEp3OW8zajgwYjJCNXp3aTEwa0g4a0paVEp6RFlkYUN6RzRmNDk3SWhJZEZyMUNCV3RPOGN2U3VnRWxjd20xclZJZTB0dmJZN1VhQkFrd1p2MEdIMGV5UUU0SGtKZUN0X2lZSFRRWEhld1BLVzhhLUFPamfSAbICQVVfeXFMTkFZZnRkR2xWOHJZb3F6TEdhY0t0YzlJZFkzeW9qc0VPbUZyMU96ZFVjeVp0Q0tORV9mN2R5ckJRX3hEWEJhWF83a2F5dnlOT3NIMlVnaDRzZy1VZXhqbVRNcm95YmstZEpGQ0lSU3lPcjBTVEktbGNFM1hRWDhTcVR0SmNrU3pSNEhwU3BnckVoSnZwMkdNZExFUF8tazV4MS03ZC1CTE14V1YyTVotOFBwRXRUMVdaekVrcXVpR1hKdzlvM2o4MGIyQjV6d2kxMGtIOGtKWlRKekRZZGFDekc0ZjQ5N0loSWRGcjFDQld0TzhjdlN1Z0VsY3dtMXJWSWUwdHZiWTdVYUJBa3dadjBHSDBleVFFNEhrSmVDdF9pWUhUUVhIZXdQS1c4YS1BT2pn?oc=5" target="_blank">LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers Introduce Adaptive Parallel Reasoning to Scale Inference Efficiently Without Exceeding Context Windows</a>  <font color="#6f6f6f">MarkTechPost</font>

Automated Optimizations for Python UDFs with Snowpark's Parallel Execution
Snowflakegeneral

Automated Optimizations for Python UDFs with Snowpark's Parallel Execution

<a href="https://news.google.com/rss/articles/CBMikgFBVV95cUxPbGhiQ2twbDBMeVp6OGlwT1p0elAtVWJOQVNjUm14dTNEazZGQkJhMm80Y2RHWjczazRhNWFWVWJWc2NfeG9HaUZQVHl4TkRTXzBpNUtPQV85cHRxSFZ1S3NHYjdwSWdMSjlaTWNGNGx5dTgta2djVHl3ZkFFYXJCQ21HSTBmZzdTTlNCVXQ0eVRtQQ?oc=5" target="_blank">Automated Optimizations for Python UDFs with Snowpark's Parallel Execution</a>  <font color="#6f6f6f">Snowflake</font>

The best Python libraries for parallel processing
InfoWorldgeneral

The best Python libraries for parallel processing

<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxNVmh2WWJfVlBxM0VDc2VjYy1SUFJHb1JWSDJvOXFoRnpORXNpVE5hT3JKNUxSLTMyTHlacnQ0TElWaUVCQm5WNERUYmd2UmxNaFZRTmhfTS1qRGFoalFwQVg4Z1F2UHhSZ2o2VkRBTW45elRQMXN5N0EzWl95Z3dkdTlPdUZEbTdCOTc3eHo4UG9HbV9qeTZjSnVsbHc?oc=5" target="_blank">The best Python libraries for parallel processing</a>  <font color="#6f6f6f">InfoWorld</font>

Parallel Geoprocessing in ArcGIS Pro
Esrigeneral

Parallel Geoprocessing in ArcGIS Pro

<a href="https://news.google.com/rss/articles/CBMinwFBVV95cUxNX2NnZUN3TENibnFlZkl5TnFPcDdqUHNQWHlrNzVvSVdjZWNOaDNXMkdjc1VxVWJUYUx0TFVJSmVucmtaWmNLMXFVODVWandVWmlHV01MOFB2WE9tZkZZUzZpWmFNVHp3Ry0tZGM2eHh1aENsRFk2ZFl0TU5qS1UwbHhvMDlobHhUaDZlWWwxTHhuVW9kQk9rMG9nc2ZRc1U?oc=5" target="_blank">Parallel Geoprocessing in ArcGIS Pro</a>  <font color="#6f6f6f">Esri</font>

New ChatGPT feature enables multi-threaded chats
Digital Watch Observatorygeneral

New ChatGPT feature enables multi-threaded chats

<a href="https://news.google.com/rss/articles/CBMif0FVX3lxTE1MOWxBVWxJVzR6RDk3VGVnOW50ZEhETE5ZQWoycy1CdmotYmZoZVpXOUhwZlpidFVpeDlndW51M0txWFB2YmhGZElRZU1BdERSRW1SSWdycEtqbjNWV1ZXU09lS1prRjIwbmNEOGMtNFE0eGpzRTBOZE9sQlRCYUk?oc=5" target="_blank">New ChatGPT feature enables multi-threaded chats</a>  <font color="#6f6f6f">Digital Watch Observatory</font>

Parallel Logic Programming: A Sequel | Theory and Practice of Logic Programming
Cambridge University Press & Assessmentgeneral

Parallel Logic Programming: A Sequel | Theory and Practice of Logic Programming

<a href="https://news.google.com/rss/articles/CBMi7gFBVV95cUxNXzd0djA5TDlvTlltWWJobTM1aXRMTWN1RG1EMkFidjF1YmpSbjk0NlEzS2JVclpzYkFQbHBOenNmb2R5MVRFRU5uZUttS0t2dDdnOGFiQURtak9jZzhjRHVZanNkMXlXZWxteV9BeU8zdFF0bTZQb0plZWtEcktTOXEweUFLdDVQc2NncmFPeDFpRUVvLTFJQmtMQkM4cXlpdU5HM0RhN2pPQ3BEWVhvU0dKNkR0amhONlNPdU51dkhxMktnX1dmbVRTMU50aFRKbzR0SVgzNTNEeE9uX3hnTmk1ZTA1VkwwdWdhcV9B?oc=5" target="_blank">Parallel Logic Programming: A Sequel | Theory and Practice of Logic Programming</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion
Naturegeneral

Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1FaC03cnpDRHdIZFg4dXljZFh6WjVvWDRQaXd0eHl2Mk5mSTB6UGZUQ3BGT1VNMmtLRkRXa084U0x0dUFlejlHTV96cXF0R21lZkpQdVhodGZyVndEX2RV?oc=5" target="_blank">Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion</a>  <font color="#6f6f6f">Nature</font>

WDM-enabled multi-core parallel programmable photonic signal processor
Naturegeneral

WDM-enabled multi-core parallel programmable photonic signal processor

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15cTN1VDB0NnFiREZVamhXaHFwNEZCT3g1TnJ3b2RGNDdaV1J5R1JoYWVLc1JMVlYwTzgycDUxaGlTb0MxcVlCOXVSQUY4ZHp5OXVtVExBMms1QXk4LWFr?oc=5" target="_blank">WDM-enabled multi-core parallel programmable photonic signal processor</a>  <font color="#6f6f6f">Nature</font>

Parallel Multi-Deque Partition Dual-Deque Merge sorting algorithm using OpenMP
Naturegeneral

Parallel Multi-Deque Partition Dual-Deque Merge sorting algorithm using OpenMP

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0yLWtDU2QwUVNOTzl3M0tjRmJBdXFoOE1pVjFxa0JlN2hwZk1SakpTejVzLVFvTk95QUNHOUZ2V0JHSE9fYlktVGpNZllPUTBZRll6YkRnN0JxSTJHOW1V?oc=5" target="_blank">Parallel Multi-Deque Partition Dual-Deque Merge sorting algorithm using OpenMP</a>  <font color="#6f6f6f">Nature</font>

Optimized N-deque partition dual-deque merge string sorting algorithm
Naturegeneral

Optimized N-deque partition dual-deque merge string sorting algorithm

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1iSk9LcG1rb2ZEcnRDTVJSNHViWkhVVnhKaHozYU5nQkthbEtsRDNLdDEyOV9zUGgwWExXWmJUY3FsYnNfbjRqRU1FdUFTVEUzQWx0THZtcE9zVmtKaUUw?oc=5" target="_blank">Optimized N-deque partition dual-deque merge string sorting algorithm</a>  <font color="#6f6f6f">Nature</font>

Hybrid parallel reduction algorithms for the multi-level CMFD acceleration in the neutron transport code PANDAS-MOC
Frontiersgeneral

Hybrid parallel reduction algorithms for the multi-level CMFD acceleration in the neutron transport code PANDAS-MOC

<a href="https://news.google.com/rss/articles/CBMingFBVV95cUxPNVVhM2E0dllWcDc4bGZsUm5wdWlTd0dxdlVla0dzSkNuVTVtSU9NSWh0dVVBVzBDXzlLb0lIWXFZQUdXRXo0aGZKUE9SNTlSTEQwYkhFTGM0WHJwTTJhOUVVT0lNaHlibEd3UDhESUlpVm05Y3pYWERGUjJqS0czcDQ2bEk0NWtGTWpRSWhIZnB2bUFFaWtrUkRCcjBGUQ?oc=5" target="_blank">Hybrid parallel reduction algorithms for the multi-level CMFD acceleration in the neutron transport code PANDAS-MOC</a>  <font color="#6f6f6f">Frontiers</font>

Python 3.14 and the End of the GIL
Towards Data Sciencegeneral

Python 3.14 and the End of the GIL

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Understanding DirectX* Multithreaded Rendering Performance by Experiments
Intelworld

Understanding DirectX* Multithreaded Rendering Performance by Experiments

<a href="https://news.google.com/rss/articles/CBMi3wFBVV95cUxQS1NYaHF2MnBpVEo0bzJsYktwVmpHcFBuU09wR19HaVdtQ0dITHJQMkhUTmQ4Ni1KM0pMX3pCbTdlWXk1Sml4Y09qNG9aaTJIZXpDRDZ4LW5NS2E1SXBmNUY4RmVQZTRuRk1kVnJ4NGZxVDFaSnhkTjEycWVSQkpWcVIxd3puczV3NThpd0xXT3FtbG5ObkhCSTlQMzQ2SXNQN25NXzNCSk9lQks1LXI4dWJ1QW9tdk1zeWk2OE1jUUpPa1h2dklWb0h6VF9NYUY4MktUWENMTmt2ZmdaMlJV?oc=5" target="_blank">Understanding DirectX* Multithreaded Rendering Performance by Experiments</a>  <font color="#6f6f6f">Intel</font>

7-Zip for Windows goes massively parallel with first ‘Threadripper Edition’ — five years after Threadripper debut, Version 25.00 the first to support more than 64 threads
Tom's Hardwaregeneral

7-Zip for Windows goes massively parallel with first ‘Threadripper Edition’ — five years after Threadripper debut, Version 25.00 the first to support more than 64 threads

<a href="https://news.google.com/rss/articles/CBMiqwJBVV95cUxPa3VycE9SR0pJZW5ST2ljLVE4TThoOTAyYmphY2tST3g3TnVQbHFic29qbThLUUQ4RDV2R0FNWmxFSGJtUFB5LTNkc3VGOWNDVEFGd0wwYTdnWENZQl85b3dkd2Z0N2pJMURHZHVZd3dYVVE3cndnOUZvQy1rdWdacm9mOVloUmdSUFlJMVREWXlJNTZLMXNsNXpxNlBzdm1NT3dHd3FfZnlkUXhuYzVOQUZrQVJINXlfVmViZlNiOTdiN3RMdGRIekFudlpUdEFjWF9TV1FxeGVZa3VFSUFFMTM1UVZuWUlCdW1mc3lIaXVFd2NuRkpncGRWY09uWTYzVTRNZThBcEpoMkpkUDFtM3cwckFlMzJyNmlTTHZ3TlhGNVgwVGpNSFRXdw?oc=5" target="_blank">7-Zip for Windows goes massively parallel with first ‘Threadripper Edition’ — five years after Threadripper debut, Version 25.00 the first to support more than 64 threads</a>  <font color="#6f6f6f">Tom's Hardware</font>

Python Concurrency - concurrent.futures
Towards Data Sciencegeneral

Python Concurrency - concurrent.futures

<a href="https://news.google.com/rss/articles/CBMiigFBVV95cUxPc3dhVGd3LUY0QXdWWng3U2FZbTh0VzhoTXBOajBTT3NUWU1ub0JHN0t2YjZpenpoc3lFZHNFeS0yREFGTm5PbmVsMWtvVVVzT3N6SVRtUDJhaGZLOUpnWXJMRndGaDc3a1pYVWN5OEFNSkRpZFY4MDFCYnRES0FZdkFwRnJwTXZoeGc?oc=5" target="_blank">Python Concurrency - concurrent.futures</a>  <font color="#6f6f6f">Towards Data Science</font>

Use parallelism to optimize querying large amounts of data in Amazon DynamoDB
Amazon Web Services (AWS)world

Use parallelism to optimize querying large amounts of data in Amazon DynamoDB

<a href="https://news.google.com/rss/articles/CBMitwFBVV95cUxNaWZwRUZNeEQ2RGNXN29BZ1AyQzA2WThxZ2plQ000T3dKQ3BxOXdzWDN5djU5ME1iVGRTT0Z3YTFzbk1JQS1YdWE0WHE1dFpJU1NBQy1TdEtSak5oVDNWSHN2THgyRnVDRGVGZldTeE55RFFkaE5MSVc5YW9qNTMySlN2S2h0ZWt6ekJqUWM5TmV6SUtpejJPa2ZkTkFFUlFGVHlsUm9maFJPQ3RDU2dCaVZYcWI3UTQ?oc=5" target="_blank">Use parallelism to optimize querying large amounts of data in Amazon DynamoDB</a>  <font color="#6f6f6f">Amazon Web Services (AWS)</font>

Parallelizing Stellar Core: The First Step Toward 5000 TPS
Stellar.orggeneral

Parallelizing Stellar Core: The First Step Toward 5000 TPS

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxNNy1vTzBRaUFGNHd4MFAyZ2ljSjd3VC0wNXp0Nk85RUhXLXZtRXNoX2VYcXNyejlhVG81aFJsVm8xR05scXVVQ2wzNjhraVlGeUUtTnZLVTdNUWJpRTExWGpRM3FyWlhHTkJvdjNXZmVFQkJZbnNBUUZiUWlTc01oZWNFYzFiR3ZEZ0NIaHk4cVFZOGY0WlRaWQ?oc=5" target="_blank">Parallelizing Stellar Core: The First Step Toward 5000 TPS</a>  <font color="#6f6f6f">Stellar.org</font>

FFmpeg Lands CLI Multi-Threading As Its "Most Complex Refactoring" In Decades
Phoronixgeneral

FFmpeg Lands CLI Multi-Threading As Its "Most Complex Refactoring" In Decades

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA0LVkxdWU2cmp5bVZrRVBmeElKUm1MamFMemhRTmNYcko4QU9WUkdEbTZwajVoNFNEQmQ1ejRwdGpoSzdoZ1dVV0RFWUNpTGxLaUdRNVhvNGFZaUhRangw?oc=5" target="_blank">FFmpeg Lands CLI Multi-Threading As Its "Most Complex Refactoring" In Decades</a>  <font color="#6f6f6f">Phoronix</font>

"Proposed Multi-Thread Parallel" — Live Google News Trends & Headlines