The implementation for touch and sensors is new for many PC game vendors. Blackfoot Blade from Confetti Interactive* is a 3rd person helicopter game that takes advantage of the touch and sensor capabilities of Ultrabook™ PCs. This case study shares some interesting findings for what worked and didn’t work.
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Sid Meier’s Civilization* V Finds the Graphics Sweet Spot
Sid Meier’s Civilization* series has a successful 20-year history. This white paper describes how Firaxis utilized Intel® GPA to ensure Civilization V (Civ5) offers the best possible mix of graphics & game performance for the vast majority of systems.
Shogun2: Total War* Case Study
Intel worked with Creative Assembly throughout development of Shogun 2: Total War to get the best possible performance from the Intel® processor and graphics. This case study looks at some of the optimizations made to achieve a final frame rate of 28 FPS.
Warhammer* 40,000*: Dawn of War II*: Retribution* Performance case study
During the development of Warhammer* 40,000*: Dawn of War* II: Retribution*, engineers from Relic Entertainment & Intel Corporation analyzed the game for performance. This case study describes steps we took speed up the most time-consuming bottlenecks.
Optimizing XuanYuan with Intel® Graphics Performance Analyzer on Intel® HD Graphics
Engineers from Intel & Tencent used Intel® GPA to improve the performance of XuanYuan by 1.34x. The performance gains from these optimizations also improved the frame rate on a pre-release Ivy Bridge system by 1.30x from 66 fps to 86 fps.
Case Study: Parallelizing a Recursive Problem with Intel® Threading Building Blocks
Intel worked closely with DreamWorks Animation engineers to improve the performance of a key rendering system library by up to 35X performance improvement in some cases.
River Trail: Bringing Parallelism to Web Applications on Top of Intel® SDK for OpenCL* Applications
To the Intel® SDK for OpenCL* Applications main page
River Trail is an Intel Labs project that enables data-parallelism in web applications by leveraging multiple CPU cores and vector instructions in the boundaries of the familiar JavaScript* programming paradigm. River Trail exploits the parallel power of CPUs using OpenCL language with the Intel® SDK for OpenCL* Applications.
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