Talk explores memory-centric computing
A PDF of Onur Mutlu’s talk at EFCL Winter School 2026 presents an approach aimed at performance challenges related to memory.
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A PDF of Onur Mutlu’s talk at EFCL Winter School 2026 presents an approach aimed at performance challenges related to memory.
Read articlePublished on February 26, 2026, this entry presents an OSINT tool for monitoring keywords on .onion sites, with a stated focus on threat intelligence and brand monitoring.
Read articlePublished on February 26, 2026, the post presents an approach intended to prevent AI providers from linking inference calls to individual users. It says the approach was integrated into open-source infrastructure and a chat app.
Read articlePublished on February 26, 2026, the diary describes iterative optimization of a CUDA matrix multiplication kernel and decisions made while seeking performance close to cuBLAS.
Read articlePublished on February 26, 2026, the summary describes a strategy for inference workloads with variable sequence lengths: set a maximum input size, pad inputs to the nearest bucket, and create a family of CUDA graphs. According to the author, this avoids recompilations.
Read articlePraetorian describes a multi-agent pipeline that turns CVE research into validated Nuclei detection templates, using specialized agents, three model providers and an actor-critic refinement loop.
Read articlePublished on February 26, 2026, Mark Harris’s article discusses how shared memory can improve matrix transposition performance in CUDA C/C++.
Read articlePublished on February 25, 2026, this roughly 22-minute tutorial discusses inference and training for diffusion language models (dLLMs).
Read articleA guide published in a GitHub repository may be a reference for engineers interested in exploring virtual iPhone configurations. The available description does not detail steps or technical requirements.
Read articlePublished on February 25, 2026, the record highlights reduction, 1D convolution, histogram, and numerically stable softmax as key CUDA kernel patterns, with techniques for parallelization and memory use.
Read articlePrime Intellect’s documentation collects practical reinforcement-learning training recipes for mathematical reasoning, code generation, tool use, and other tasks in the Lab.
Read articleThe article examines Intel Management Engine architecture and firmware, exploitation of CVE-2017-5689, a TOCTOU race condition in CVE-2025-20037, PKfail, and detection methods.
Read articlePublished on February 24, 2026, the post describes a local distillation demonstration: 50 GPT-5.2 outputs were used to fine-tune Llama 3B with QLoRA. The author says the process transferred significant capabilities.
Read articlePeter Gutmann’s 1996 article discusses data remanence and the limits of a single overwrite on magnetic media.
Read articleA February 22, 2026 entry describes an LLVM-based framework that turns sequential C++ programs into parallel implementations for multicore CPUs and OpenCL-compatible GPUs.
Read articlePublished on February 22, 2026, the entry describes a C++/CUDA inference engine that claims to run Llama 70B on an RTX 3090, transferring data from NVMe to the GPU without passing through the CPU.
Read articleA February 21, 2026 entry describes llmfit, a tool that analyzes hardware to identify compatible models and estimate performance before downloading weights.
Read articleA February 21, 2026 entry presents VulnLLM-R-7B as a reasoning model specialized in vulnerability detection, without reporting benchmarks or quantitative results.
Read articlePublished on February 18, 2026, the bookmark presents Booth as an open-source compiler for CUDA, Triton, and HIP, targeting multiple GPU and CPU architectures.
Read articlePublished on February 18, 2026, the entry describes Booth as an open-source compiler for CUDA, Triton, and HIP, with support for multiple GPU and CPU architectures.
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