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Your pet’s #heart #health is essential to their overall well-being. At #Animal #Hospital of #Putnam, we offer #electrocardiograms (#ECG) to #detect and #monitor heart conditions, ensuring early #diagnosis and effective #treatment. Whether your #pet is experiencing #symptoms or needs a routine heart checkup, our #advanced #technology provides #fast and #accurate results. Schedule an #appointment today to prioritize your pet’s heart health.

To know more: animalhospitalofputnam.com/ser

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arXiv.orgTPDE: A Fast Adaptable Compiler Back-End FrameworkFast machine code generation is especially important for fast start-up just-in-time compilation, where the compilation time is part of the end-to-end latency. However, widely used compiler frameworks like LLVM do not prioritize fast compilation and require an extra IR translation step increasing latency even further; and rolling a custom code generator is a substantial engineering effort, especially when targeting multiple architectures. Therefore, in this paper, we present TPDE, a compiler back-end framework that adapts to existing code representations in SSA form. Using an IR-specific adapter providing canonical access to IR data structures and a specification of the IR semantics, the framework performs one analysis pass and then performs the compilation in just a single pass, combining instruction selection, register allocation, and instruction encoding. The generated target instructions are primarily derived code written in high-level language through LLVM's Machine IR, easing portability to different architectures while enabling optimizations during code generation. To show the generality of our framework, we build a new back-end for LLVM from scratch targeting x86-64 and AArch64. Performance results on SPECint 2017 show that we can compile LLVM-IR 8--24x faster than LLVM -O0 while being on-par in terms of run-time performance. We also demonstrate the benefits of adapting to domain-specific IRs in JIT contexts, particularly WebAssembly and database query compilation, where avoiding the extra IR translation further reduces compilation latency.

839 #ClimateSolution #Fast #Methane
#TED #DanielZavalaAraiza

Methane is responsible for 80% times more for global temperature rise than the other gasses. [In the short run *] And it is much easier to reduce: in spilling by #BigOil ; in less catle by #BigAgro.
* This is only a [much needed] short term solution. We still need to stop CO2 emessions]

"The Best Way to Lower Earth's Temperature — Fast | Daniel Zavala-Araiza | TED" [9:09 min]
by TED

youtube.com/watch?v=YPvP_C4qy0

Quote by TED:
"May 9, 2025
There's an invisible super-pollutant heating up the planet — but it's surprisingly easy to reduce, if we try. Revealing how methane contributes (way) more in the short term to global warming than carbon dioxide, chemical engineer Daniel Zavala-Araiza highlights the emerging technologies and bold new policies that are part of a worldwide effort to hold oil and gas companies accountable for polluting our skies with this harmful gas. It's an optimistic glimpse into a future where global cooperation and cutting-edge monitoring could rapidly slow climate change. (Recorded at TED Countdown: Overcoming Dilemmas in the Green Transition on October 30, 2024)"

#TakeCareForLife #TakeCareForEarth
#StopBurningThings #StopEcoside
#StopThePlunder #StopRapingNature
#ClimateBreakDown