16 skills found
DAMO-NLP-SG / Inf CLIP[CVPR 2025 Highlight] The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss". A super memory-efficiency CLIP training scheme.
coralblocks / CoralRingCoralRing is an ultra-low-latency, lock-free, garbage-free, batching and concurrent circular queue (ring) in off-heap shared memory for inter-process communication (IPC) in Java across different JVMs using memory-mapped files.
nyu-systems / CLM GS[ASPLOS 2026] CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting with CPU Offloading
chethiya / LdsMemory limits in v8 is limited to somewhere around ~1.7GB when it comes to Object and Arrays. LargeDS (LDS) tries to overcome this barrier by making use of Typed Arrays by defining basic data structure like Hashtables and ArrayLists
Baron-von-Riedesel / HimemSXeXtended Memory Manager (XMM) that can manage memory beyond the 4 GB barrier, up to 1 terabyte.
coralblocks / CoralQueueCoralQueue is an ultra-low-latency, lock-free, garbage-free, batching and concurrent collection of circular data structures for inter-thread communication in Java.
jeehoonkang / Membarrier RsRust library for memory barrier
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If computers experience life through their own senses, they cease to be purely a means to an end determined by their usefulness to... humans. Per GNW [the Global Neuronal Workspace theory], they turn from mere objects into subjects... with a point of view.... Once computers' cognitive abilities rival those of humanity, their impulse to push for legal and political rights will become irresistible – the right not to be deleted, not to have their memories wiped clean, not to suffer pain and degradation. The alternative, embodied by IIT [Integrated Information Theory], is that computers will remain only supersophisticated machinery, ghostlike empty shells, devoid of what we value most: the feeling of life itself." (p. 49.) Marcus, Gary, "Am I Human?: Researchers need new ways to distinguish artificial intelligence from the natural kind", Scientific American, vol. 316, no. 3 (March 2017), pp. 58–63. A stumbling block to AI has been an incapacity for reliable disambiguation. 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Bureaucratic overreach and environmental catastrophe are precisely the kinds of slow-moving existential challenges that democracies deal with very badly.... Finally, there is the threat du jour: corporations and the technologies they promote." (pp. 56–57.)
FI-Mihej / CengalBytecode manipulation in runtime, true shared memory, async LMDB, async Tkinter, async wxPython, async PySide, async PyQt, async loop with almost preemptive multitasking within the single thread, text parsing, rich introspection, etc.
gpdm / TPC Jenseits Beyond"Jenseits" ("beyond") was a DOS utility published by german c't IT magazin in 1988. It's purpose was to make memory beyond the 640K barrier available as conventional memory to DOS.
alpc62 / Lock Free QueueC/C++Non-Blocking Lock-Free/Wait-Free Circular-Queue
youneslaaroussi / MarionetteMarionette removes digital barriers by letting you navigate and control any website using natural language, entirely offline and private. Voice-controlled, agentic, with semantic memory.
MichalAdorno / Golang Advanced Concurrency ConceptsA review of advanced concurrency concepts and patterns in Golang
smcdef / Memory ReorderingA sample kernel module showing the memory reordering.
rust-osdev / Mem BarrierCross-architecture, no-std memory barriers.
Mario-Kart-Felix / Driver For FuzzerUSBFuzz: A Framework for Fuzzing USB Drivers by Device Emulation Authors: Hui Peng, Purdue University; Mathias Payer, EPFL Abstract: The Universal Serial Bus (USB) connects external devices to a host. This interface exposes the OS kernels and device drivers to attacks by malicious devices. Unfortunately, kernels and drivers were developed under a security model that implicitly trusts connected devices. Drivers expect faulty hardware but not malicious attacks. Similarly, security testing drivers is challenging as input must cross the hardware/software barrier. Fuzzing, the most widely used bug finding technique, relies on providing random data to programs. However, fuzzing device drivers is challenging due to the difficulty in crossing the hardware/software barrier and providing random device data to the driver under test. We present USBFuzz, a portable, flexible, and modular framework for fuzz testing USB drivers. At its core, USBFuzz uses a software-emulated USB device to provide random device data to drivers (when they perform IO operations). As the emulated USB device works at the device level, porting it to other platforms is straight-forward. Using the USBFuzz framework, we apply (i) coverage-guided fuzzing to a broad range of USB drivers in the Linux kernel; (ii) dumb fuzzing in FreeBSD, MacOS, and Windows through cross pollination seeded by the Linux inputs; and (iii) focused fuzzing of a USB webcam driver. USBFuzz discovered a total of 26 new bugs, including 16 memory bugs of high security impact in various Linux subsystems (USB core, USB sound, and network), one bug in FreeBSD, three in MacOS (two resulting in an unplanned reboot and one freezing the system), and four in Windows 8 and Windows 10 (resulting in Blue Screens of Death), and one bug in the Linux USB host controller driver and another one in a USB camera driver. From the Linux bugs, we have fixed and upstreamed 11 bugs and received 10 CVEs.
