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The Hoard memory allocator is a fast, scalable, and memory-efficient memory allocator for Linux, Solaris, Mac OS X, and Windows. Hoard is a drop-in replacement for malloc that can dramatically improve application performance, especially for multithreaded programs running. The Hoard memory allocator is a fast, scalable, and memory-efficient memory allocator that works on a range of platforms, including Linux, Solaris, Mac OS X, and Windows. Hoard is a drop-in replacement for malloc that can dramatically improve application performance, especially for multithreaded programs running on multiprocessors and multicore CPUs.
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Features:
- 4 game modes: Treasure Collect, Princess Rush, HOARD (survival), and Co-oP
- Over 35 unique kingdoms
- Support for 1-4 players
- Upgradeable dragons with intense related strategy
- Deep rewards system with over 100 Steam achievements
- Leaderboards for global gold-hoarding score competition
- Charming graphics and bass-thumping soundtrack
- Winner: 'Best Quick Fix', Nominated: 'Best Competitive Multiplayer' (IGN)
Requirements
| Would you like to view prices in estimated EUR? (actual charges are made in USD) | Yes | |
| MinimumSupported | Mac OS X | 10.11 | Download the MacGameStore App to compare your Mac's information in real-time.
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| CPU Type | Intel or M1 Mac |
| CPU Speed | 2 GHz |
| Drive Space | 625 MB |
| Video Card | Any |
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Hoard It (squiddershins) Mac Os Catalina
| Hoard is a fast, scalable, and memory-efficient memory allocator that can speed up your applications. It's much faster than built-in system allocators: as much as 2.5x faster than Linux, 3x faster than Windows, and 7x faster than Mac. No source code changes necessary. Cross-platform: works on Linux, Mac OS X, and Windows. Download Hoard now! |
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Hoard can be downloaded directly from the Hoard GitHub repository. |
Companies using Hoard include Fortune 100 companies like Cisco Systems, high performance analytics companies like TIBCO, and major international companies like SAP, Tata, British Telecom, the Royal Bank of Canada, and Crédit Suisse.
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Hoard It (squiddershins) Mac Os X
'…use Emery Berger's excellent Hoard multiprocessor memory management code… it is very fast on multiprocessor machines.' John Robbins - Debugging Applications for Microsoft .NET & Microsoft Windows (Microsoft Press)
'To improve memory management performance (with multiple threads), consider an open source alternative such as Hoard…' Johnson Hart - Windows System Programming (Addison-Wesley)
'… Hoard is especially efficient in multiprocessor environments.'
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Hoard has been released under the Apache 2.0 license. |
