TIDB THE LARGE SCALE RELATIONAL DATABASE SOLUTION PRODUCT REVIEW 2022 Piloting tomorrow’s creativity https://www.iconic.inc Iconic Data Japan (IDJ) is a multi-national data services company that solution are: TiDB focuses on scalability, database clustering, and its ability to automatically scale horizontally (across nodes/instances/ machines), another focus of TiDB is its speed in being able 20ms) Already use SQL databases Require high consistency A DATABASE SOLUTION TIDB 4 FEATURES SPEED SCALE Core to the solution that TiDB is trying to be is speed, and the lack of delay in queries. TiDB’s

Futures/Promises to Lazy Continuations Evolving an Actor Library Based on Lessons Learned from Large-Scale Deployments Benjamin Hindman @benh CppCon 2021prologue ● past life at UC Berkeley, Twitter, Mesosphere/D2iQ ● about a dozen mutexes! (mostly for interfacing with code not written w/ libprocess) ● massive scale (clusters of ~80k physical machines)chapters (1) motivating futures/promises + actors (2) libprocess

//scaling options 17 this.scale.scaleMode = Phaser.ScaleManager.SHOW_ALL; 18 this.scale.minWidth = 240; 19 this.scale.minHeight = 170; 20 this.scale.maxWidth = 2880; 21 this.scale.maxHeight = 1920; 22 23 //have the game centered horizontally 24 this.scale.pageAlignHorizontally = true; 25 26 //screen size will be set automatically 27 this.scale.setScreenSize(true); 28 29 //physics system for world.centerX, this.game.world.centerY, 'playership'); Make it a bit bigger: 1 this.player.scale.setTo(2); The player will be animated the entire time: 1 this.player.animations.add('fly', [0

More… Note: Chart expressed in trillions of real GDP as measured by 2011 ‘GK$’ on a logarithmic scale. GK$ (Gross Knowledge Dollars) is an informal term used to estimate the potential business value Units ~300MM+ Units ~1B+ Units / Users ~4B+ Units Tens of Billions of Units MM Units in Log Scale Technology Compounding = Numbers Behind The Momentum13 AI Technology Compounding = Numbers Behind *As of 4/25, ‘Large-Scale AI Models’ are generally defined as those with a training compute of 1023 FLOPs or greater, per Epoch AI. Source: Epoch AI (5/25) Number of New Large-Scale AI Models (Larger than

int32_t alpha_scale = 0; const int32_t lat = (last_posn.lat + posn->lat) / 2; lon_scale(lat, &alpha_scale, NULL); const uint32_t delta_distance_sc = compute_dist(posn, &last_posn, &alpha_scale, NULL); const int32_t alpha_scale = 0; const int32_t lat = (last_posn.lat + posn->lat) / 2; lon_scale(lat, &alpha_scale, NULL); const uint32_t delta_distance_sc = compute_dist(posn, &last_posn, &alpha_scale, NULL); const int32_t alpha_scale = 0; const int32_t lat = (last_posn.lat + posn->lat) / 2; lon_scale(lat, &alpha_scale, NULL); const uint32_t delta_distance_sc = compute_dist(posn, &last_posn, &alpha_scale, NULL); const

corresponding X, Y, Z positions, and by using different “gizmos” or tools you can move, rotate and scale these objects around. ● Game View: this view shows what the game actually looks like. In this case component appears in the Inspector, indicating the position of the object, plus values for rotation and scale. Lets create a Cube to experiment with transforms. In the Hierarchy Window, right click and Experiment changing the scale and rotation as well. A scale of 1 means no change in size. If you set it to 2, it will twice the size in that axis. If you want it halved, set the scale to 0.5. Notice that

About Us 2 Scott, Principal Engineer at CMU SEI Graph/ML/AI algorithms for large- and small- scale parallel systems. Working on GBTL, a linear algebra-based C++ library for graph analytics.[DISTRIBUTION pointers to custom operators void scale_2(void *out, const void *in) { *(int*)out = 2 * (*(int*)in); } GrB_UnaryOp my_scale_2; GrB_UnaryOp_new(&my_scale_2, scale_2, GrB_INT32, GrB_INT32); built-in types left out of the spec Function pointers (e.g. scale_2) then used in performance-critical inner loops: GrB_apply(C, ..., my_scale_2, A, desc); 57[DISTRIBUTION STATEMENT A] This material has

Point normalized() const { 5 using std::sqrt; 6 const auto scale = 1 / sqrt(x * x + y * y + z * z); 7 return {x * scale, y * scale, z * scale}; 8 } 9 }; Matthias Kretz CppCon ’23 52 GSI Helmholtz Center Point normalized() const { 5 using std::sqrt; 6 const auto scale 7 = 1 / sqrt(x*x + y*y + z*z); 8 return {x * scale, 9 y * scale, 10 z * scale}; 11 } 12 }; 1 void aos(const std::vector>& Point normalized() const { 5 using std::sqrt; 6 const auto scale 7 = 1 / sqrt(x*x + y*y + z*z); 8 return {x * scale, 9 y * scale, 10 z * scale}; 11 } 12 }; 1 void aos(const std::vector>&

errors hard to understand. 15using kilometer_base_unit = bu::make_scaled_unitscale<10, bu::static_rational<3>>>::type; using length_kilometer = kilometer_base_unit::unit_type; using org/z/G3qqn8) (Continued...) 16using kilometer_base_unit = bu::make_scaled_unitscale<10, bu::static_rational<3>>>::type; using length_kilometer = kilometer_base_unit::unit_type; using boost::units::list< boost::units::scaled_base_unitscale<10, boost::units::static_rational<3> > >, boost::units::list

0 码力 | 172 页 | 6.17 MB | 6 月前

3