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TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments  ⚡Hardware Acceleration
arxiv.org·15h
The M:N Concurrent Model — A Complete Guide. From First Principles to Production Schedulers  🧵Lightweight Threads
0xkiire.com·3d·Hacker News, r/golang, r/rust
Why gRPC Is Fast: The Real Reason Is HTTP/2, Not Just Protobuf  🔌gRPC
javarevisited.substack.com·2d·r/programming
Knowledge gaps for neuromorphic ionic computing  🧮Intel MKL-DNN
science.org·5d
Regulating Branch Parallelism in LLM Serving  🧵OpenMP
arxiv.org·1d
FractalSortCPU: Bandwidth-Efficient Compressed Radix Sort on CPU  📋Columnar Storage
arxiv.org·15h
Data Path Fusion in GPU for Analytical Query Processing  📊Vectorized Query Execution
arxiv.org·15h
HexiSeq: Accommodating Long Context Training of LLMs over Heterogeneous Hardware  🔄Hardware Transactional Memory
arxiv.org·1d
Surviving Partial Rank Failures in Wide Expert-Parallel MoE Inference  🧩mimalloc
arxiv.org·15h
Stencil Computations on Cerebras Wafer-Scale Engine  🌀Naiad
arxiv.org·1d
Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems  🚀Intel ISPC
arxiv.org·4d·Hacker News
A Controlled Study of Memory Hierarchy Transitions in Quantum Circuit Simulation on Apple M4 Pro Unified Memory Architecture  ⚛️Quantum Computing
arxiv.org·15h
On Similarity of Computational Kernels in our Codes and Proxies  🧮Vector Databases
arxiv.org·1d
Unleashing Scalable Context Parallelism for Foundation Models Pre-Training via FCP  🤖TVM
arxiv.org·15h
Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism  🧩mimalloc
arxiv.org·5d
An Efficient Hybrid Sparse Attention with CPU-GPU Parallelism for Long-Context Inference  🔬Deep Learning
arxiv.org·1d
EnergyLens: Interpretable Closed-Form Energy Models for Multimodal LLM Inference Serving  🤖TVM
arxiv.org·15h
TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM  🤖TVM
arxiv.org·15h
CCL-Bench 1.0: A Trace-Based Benchmark for LLM Infrastructure  🚀Performance
arxiv.org·4d·Hacker News
Enhancing Performance Insight at Scale: A Heterogeneous Framework for Exascale Diagnostics  📊Extrae
arxiv.org·6d

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