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ptxas

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[ { "content": "I'm hitting a wall with register usage in a ray casting kernel I'm working on. The part that handles trilinear interpolation inside the traversal loop seems to be the culprit, and ptxas is showing high register pressure. Is there a way to manually tweak the PTX to optimize that section without bre...
[ { "content": "I'm working on optimizing some GPU kernel code and I'm running into an issue with how ptxas handles register allocation. When I compile my kernels, I'm seeing some unexpected register spilling that's hurting performance. What's the best way to inspect the generated PTX assembly to see where this s...
[ { "content": "Hey, I'm trying to optimize a compute kernel for a 2D simulation and I think register pressure is killing my performance. I need to look at the generated PTX assembly to understand what's happening. Can you help me figure out how to use ptxas to identify register spills and show me an example of h...
[ { "content": "I'm working on optimizing some CUDA kernels for handling 2D depth data and I'm running into some performance bottlenecks with pitched memory allocations. I'd like to dig into the actual assembly to see what's going on under the hood. Can you walk me through how I can use ptxas to disassemble my co...
[ { "content": "I'm trying to understand the low-level details of how CUDA kernels get compiled down to PTX. Specifically, when I'm writing a tiled matrix multiplication kernel using shared memory, how does ptxas handle the alignment and padding to prevent bank conflicts? I want to know if there's a way to inspec...
[ { "content": "Hey, I'm working on optimizing a CUDA application that does some matrix operations on the GPU. I've been looking into the PTX assembly output from ptxas and I'm trying to understand how shared memory is actually being utilized in the compiled code. \n\nWhen I compile with -arch=sm_75, the PTX look...
[ { "content": "I'm trying to understand how to write optimized PTX assembly for GPU kernels, particularly for matrix operations. I've been looking at some CUDA benchmarks and I'm curious about how the thread block configurations affect the generated PTX. \n\nWhat are some common ptxas compiler flags I should be ...
[ { "content": "Hey, I've got a CUDA kernel doing iterative solving with convergence checks and conditional branches for variable updates. I need to debug why it's hitting register limits and causing slowdowns. I want to look at the ptxas output to see the register allocation and branch logic. How do I compile wi...
[ { "content": "Hey, I'm working on some CUDA kernels and I'm curious about how ptxas handles kernel compilation. When I compile a kernel with multiple templates like what you'd see in activation functions, does ptxas generate separate PTX for each specialization or does it somehow optimize across them? I've been...
[ { "content": "I'm trying to understand how the printf function is implemented at the assembly level on the GPU. Can you help me figure out how to use ptxas to view the PTX for a kernel that outputs a string?", "role": "user" }, { "content": "Great question! Understanding how `printf` works on GPU is...
[ { "content": "Hey, I'm working on optimizing some CUDA kernels and I've been looking at the PTX assembly output from ptxas. I'm trying to understand how to better analyze register usage and memory access patterns. When I compile with --ptxas-options=-v, I see register counts and shared memory usage, but I'm not...
[ { "content": "I'm trying to understand how a simple CUDA kernel gets translated into PTX assembly. Specifically, if I'm just adding two numbers and writing the result back to global memory, what does the ptxas output look like for that? I'm curious about the actual instructions involved.", "role": "user" ...
[ { "content": "Hey, I'm diving into CUDA optimization and I keep running into limits with registers per block and multiprocessors. Can you show me how to use ptxas to inspect register usage in PTX assembly? I want to figure out exactly how to check if I'm hitting those hardware constraints without just relying o...
[ { "content": "Hey, I'm trying to understand how to optimize parallel scan operations in PTX assembly. I've been working on some CUDA kernels and want to get more granular control over the generated code. Can you help me figure out how to look at the PTX output and what specific PTX instructions would be involve...
[ { "content": "I've been messing around with CUDA compilation flags and I'm trying to figure out how ptxas handles the architecture targets. When I specify an architecture, is the output I get actually the PTX assembly or does it jump straight to SASS? I need to inspect the intermediate representation to find so...
[ { "content": "I'm trying to optimize a conditional selection operation on the GPU where threads pick values from one of two inputs based on a mask. When I look at the ptxas output, it seems to be generating branch instructions that cause divergence. Is there a way to force the compiler to use predicated moves f...
[ { "content": "I'm running into a 'too many resources requested' error from ptxas when compiling a kernel that does bilinear interpolation. I've tried adding launch bounds, but it's still failing. Can you show me how to inspect the PTX assembly to identify what's consuming so many registers and suggest ways to r...
[ { "content": "Hey, I've been working on optimizing some CUDA kernels and I'm running into issues with register pressure. When I compile with ptxas, I'm seeing a lot of warnings about local memory spills. Does anyone know how to reduce register usage in device functions without sacrificing too much performance? ...
[ { "content": "I'm trying to get a specific CUDA kernel down to PTX assembly for performance tuning. The kernel does a threshold check on a float array and sets a corresponding int array if the value is below the threshold. Can you explain how to represent the absolute value comparison and the conditional write ...
[ { "content": "I've been working on optimizing some CUDA kernels and I'm hitting a wall with understanding how the gradients are actually being computed at the assembly level. When I compile with ptxas, I get a lot of output but it's hard to tell what's actually happening with the memory barriers and stream sync...
[ { "content": "Hey, I'm trying to optimize a CUDA kernel and I'm seeing some warnings from ptxas about register usage. I want to dig into the PTX assembly to see exactly where the compiler is allocating registers and if there's a way to manually adjust that. Can you walk me through how to analyze the PTX for reg...
[ { "content": "Hey, I'm trying to optimize a parallel prefix sum operation on the GPU and I want to get down to the metal. Is there a way to generate the PTX assembly for a scan kernel so I can inspect it with ptxas? I'm trying to figure out what instructions are actually being used under the hood to see if ther...
[ { "content": "I've been working on optimizing some GPU kernels and I'm trying to understand how PTX assembly handles memory synchronization between host and device. When I use cudaMemcpyAsync with cudaMemcpyHostToDevice, I see the ptxas compiler output some interesting synchronization barriers. Can you help me ...
[ { "content": "I'm working on a CUDA kernel that generates random numbers, but I'm running into performance issues. How can I use PTX assembly to identify where the bottlenecks might be?", "role": "user" }, { "content": "Using PTX assembly to identify bottlenecks in CUDA kernels is a powerful approac...
[ { "content": "I'm working on optimizing some GPU kernels for 3D voxel processing and I'm trying to understand the PTX assembly output better. When I compile with ptxas, I'm seeing a lot of register usage and I want to know how to reduce register pressure. What are some common strategies for optimizing register ...
[ { "content": "Hey, I'm working on optimizing a kernel that needs to filter out NaNs and Infs, and I was wondering if I can write the core logic directly in PTX assembly to squeeze out more performance. Could you show me how to construct a PTX instruction sequence that checks if a floating-point value is finite,...
[ { "content": "I'm debugging a CUDA kernel that's running slower than expected on certain architectures. I need to see the low-level PTX to understand what's going on. How can I use ptxas to disassemble the compiled kernel and analyze the instruction flow, especially around atomic operations and memory barriers?...
[ { "content": "Hey, I'm working on GPU random number generation and hitting some ptxas warnings when I compile my kernels. The code uses curandStateMtgp32 for generating random numbers on the device. When I compile with ptxas, I'm seeing warnings about register usage and some issues with how the state is being p...
[ { "content": "Hey, I'm debugging a CUDA kernel for a lower triangular solve and I'm seeing some weird behavior in the ptxas output. The register pressure seems really high for what should be a straightforward solve operation. Do you have any tips on how to optimize the PTX to reduce register usage without sacri...
[ { "content": "I'm working on optimizing some CUDA kernels for motion estimation and I'm looking at the PTX output to understand what's really happening under the hood. I see inline PTX assembly being used for some pixel difference calculations with instructions like vabsdiff4 and vmad. When I compile with ptxas...
[ { "content": "I'm debugging a CUDA kernel that uses atomic operations for aggregating energy deposits across many threads. The kernel is compiling fine, but performance is lower than expected. Are there specific ptxas options or PTX-level optimizations that could help reduce atomic contention or improve memory ...
[ { "content": "I'm working on optimizing some GPU kernel operations that involve sorting and reducing data by region labels. I've been using CUDA C++ with CUB for device-level reductions, but I'm curious if there's a way to get more control over the actual PTX instructions being generated. Specifically, when I'm...
[ { "content": "I'm trying to debug a CUDA kernel that performs a parallel search on a large dataset. I suspect the way threads are handling early exits is causing issues, but I need to look at the low-level code. Can you help me figure out how to use ptxas to generate and inspect the PTX assembly so I can verify...
[ { "content": "I'm running into some issues compiling a CUDA kernel that handles int8 convolutions. When I run ptxas on the generated PTX, it's complaining about register pressure being too high for the thread block configuration I'm using. I tried lowering the register count limit, but that caused a huge perfor...
[ { "content": "I'm working on a kernel that adds two arrays on the GPU. I want to inspect the PTX assembly generated by ptxas for it. What flags should I use to get a readable output?", "role": "user" }, { "content": "To inspect the PTX assembly generated for your CUDA kernel, you need to distinguish...
[ { "content": "I'm trying to debug a CUDA kernel that's performing pointwise operations on tensors, and I think the issue might be in the generated PTX assembly. How can I use ptxas to inspect and optimize the assembly code for better performance?", "role": "user" }, { "content": "To debug and optimi...
[ { "content": "I'm running into some issues compiling my CUDA kernels with ptxas and I need help debugging the output. Specifically, I want to know how to query device properties like the multiprocessor count directly from within the PTX assembly or if there's a way to optimize register allocation for the best h...
[ { "content": "I'm working on optimizing a CUDA kernel that processes structured data on the GPU. When compiling with ptxas, I'm seeing high register usage leading to lower occupancy. What are some PTX-level strategies to reduce register pressure without sacrificing performance?", "role": "user" }, { ...
[ { "content": "I'm working on tuning a CUDA kernel for dense matrix multiplication and want to move beyond just timing results. I'd like to analyze the PTX assembly to understand why the tiled version isn't scaling linearly with block size. Specifically, how can I use ptxas to identify if there's register spilli...
[ { "content": "I'm working on a high-performance compute task that involves setting up multiple GPU devices and managing their memory. I want to get past the high-level API calls and understand what's actually happening with the hardware instructions. Can you help me solve a problem by writing a small PTX assemb...
[ { "content": "Hey, I'm trying to compile some CUDA code that does sphere ray tracing with collision detection, and I'm running into issues with ptxas giving me warnings about register usage. Can you help me understand how to optimize the kernel code to reduce register pressure? The kernels seem to be using a lo...
[ { "content": "Hey, I'm working on optimizing some GPU kernels and I'm running into an issue with PTX assembly. When I compile with ptxas, I'm getting warnings about register spilling and I'm not sure how to debug this efficiently. Can you help me understand what's causing register pressure in my kernels and how...
[ { "content": "I'm working on optimizing some CUDA kernels for a physics reconstruction pipeline and I'm hitting some performance issues. I've been trying to look at the PTX assembly output to understand what's actually happening at the GPU level, but I'm not sure how to get meaningful insights from it. Can you ...
[ { "content": "Hey, I'm working on some GPU kernels for elementwise operations and I'm trying to get a better handle on the PTX assembly output from ptxas. Specifically, for simple binary operations like adding two float arrays, are there common patterns in the assembly that indicate the compiler is doing unnece...
[ { "content": "Hey, I'm running into some performance bottlenecks with a CUDA hashing kernel I'm working on. I think the register usage might be causing too much spilling. Could you walk me through how to inspect the PTX assembly using ptxas to confirm that and see where the optimization opportunities are?", ...
[ { "content": "I'm trying to dig deeper into how my CUDA kernels are actually executing on the hardware. Specifically, I have a kernel that processes multiple elements per thread in a loop. When I compile with ptxas, I want to make sure the memory accesses are coalesced and efficient. What flags should I use to ...
[ { "content": "Hey, I'm trying to understand how to write efficient PTX assembly for memory operations on the GPU. When I look at CUDA kernels doing bulk memory copies, I see they sometimes use PTX instructions like ld and st, but I'm not sure how to optimize these for different memory sizes. What's the best way...
[ { "content": "I've been looking into optimizing some CUDA kernels and I'm curious about how to inspect the actual PTX assembly that gets generated. Is there a way to see the intermediate PTX output before ptxas does its final assembly, and what are some common red flags I should look for in the generated code?"...
[ { "content": "I've been working on some CUDA kernels for PDE solvers and I'm trying to understand how to optimize memory access patterns at the PTX level. Specifically, when you have a 2D grid computation where each thread needs to access neighboring elements (like a stencil operation), what's the best way to t...
[ { "content": "Hey, I'm trying to compile a CUDA kernel that does a lot of vector math and trigonometry operations, and I'm running into some performance issues. When I look at the PTX output from ptxas, I see it's using a lot of registers for what seems like simple operations. Is there a way to optimize the reg...
[ { "content": "Hey, I'm working on tuning a CUDA kernel for some complex math operations and I'm running into performance inconsistencies depending on how I set up the thread blocks. I've heard that looking at the PTX assembly can really help pinpoint bottlenecks. Is there a specific flag for ptxas that lets me ...
[ { "content": "Hey, I'm trying to squeeze some performance out of a kernel that handles modular exponentiation style logic. The ptxas compiler seems to be generating some suboptimal instruction sequences for the carry propagation parts. Is there a way to inject custom PTX assembly to override the compiler's deci...
[ { "content": "Hey, I've been working on optimizing GPU kernels for matrix operations and I'm curious about the PTX assembly output. When I compile a simple matrix multiplication kernel, how can I inspect the generated PTX to understand what instructions are actually being executed on the GPU?", "role": "use...
[ { "content": "Hey, I'm working on optimizing some CUDA kernels for a puzzle solver and I'm wondering if there's a way to inspect the actual PTX assembly that gets generated from device functions? Specifically, I'd like to see what ptxas produces for the hash calculation functions that access pattern database ta...
[ { "content": "I'm trying to optimize a CUDA kernel that handles flocking logic for a bunch of agents, specifically the part where they check neighbors for separation and alignment. I want to dig into the generated assembly to see what's going on under the hood. How do I compile a kernel with ptxas to show me th...
[ { "content": "Hey, I'm working on optimizing some CUDA kernels for scientific computing and I'm curious about PTX assembly. When you compile with nvcc, how exactly does ptxas determine the register usage per thread? I've noticed sometimes kernels perform differently even when the source code looks similar, and ...
[ { "content": "I've been working on some CUDA kernels for a path tracing renderer and I'm running into some performance issues. I noticed the compiler output mentions ptxas warnings about register usage. Can you help me understand how to inspect the PTX assembly for a kernel to see what's actually using all thos...
[ { "content": "I'm working on optimizing a custom CUDA kernel for convolution backward pass and I'm trying to understand what the compiler is actually doing under the hood. Is there a specific flag I can pass to ptxas to dump the assembly for just the inner accumulation loop? I'm concerned about register usage a...
[ { "content": "I'm working on a CUDA kernel that updates particle positions and velocities, and I'm seeing some performance bottlenecks. I suspect it's related to how the compiler is handling register allocation. Can you guide me on how to extract the PTX assembly using ptxas and analyze the register usage to op...
[ { "content": "I'm trying to squeeze more performance out of a kernel that computes pairwise distances between vectors on the GPU. I've noticed that changing the thread block dimensions affects the timing significantly, and I suspect it might be related to how the compiler schedules registers. Is there a way to ...
[ { "content": "Hey, I'm working on optimizing some CUDA kernels and I'm hitting a wall with ptxas warnings about register usage. The kernel is doing a lot of shared memory operations with loop unrolling, and ptxas is telling me I'm using way too many registers per thread. I've tried the --opt-register-usage flag...
[ { "content": "I'm working on a kernel that performs element-wise addition on large integer arrays. I want to inspect the generated assembly to understand how the global memory accesses are optimized. How do I configure ptxas to output the PTX assembly for this kind of operation?", "role": "user" }, { ...
[ { "content": "Hey, I'm running into an issue where ptxas is warning me about excessive register usage on one of my kernels. I want to manually tweak the assembly to reduce it, but I'm not sure how to modify the PTX and recompile without breaking things. What's the workflow for editing PTX and getting it back on...
[ { "content": "Hey, I've been working on some CUDA kernels that handle concurrent record insertion with atomic operations. I'm curious about how the atomicAdd calls on global memory would translate to PTX assembly. Could you help me understand what PTX instructions are generated for these atomic operations and w...
[ { "content": "I'm working on optimizing some CUDA kernels that use NVSHMEM for inter-node communication in a distributed solver. The kernels launch with very small thread counts—sometimes just one thread per operation—and I'm concerned about how efficiently they compile to PTX.\n\nCan you help me understand wha...
[ { "content": "Hey, I'm trying to optimize a matrix multiplication kernel and I want to look at the PTX assembly to see where the bottlenecks are. How do I use ptxas to get a detailed report on register usage and instruction types so I can spot inefficiencies?", "role": "user" }, { "content": "To ana...
[ { "content": "I'm trying to optimize a CUDA kernel that does image edge detection with texture lookups. I suspect the floating point math is causing register pressure. Can you show me how to use ptxas to generate the PTX assembly and help me identify where I might be able to reduce register usage or improve ins...
[ { "content": "I'm trying to debug a performance issue with constant memory access on the GPU. I have a specific double value that gets initialized once and then used across multiple kernels. I want to bypass the standard API calls and see how I can define and populate this constant directly using PTX assembly a...
[ { "content": "I'm working on a CUDA kernel where I'm mixing integer and double precision data in a device function. When I compile with ptxas and look at the PTX assembly, I'm seeing a lot of conversion instructions that seem inefficient. Is there a specific flag or technique to get ptxas to optimize these type...
[ { "content": "I'm working on a CUDA kernel that uses constant memory to store stride values for 3D array indexing. When I compile it, ptxas is warning me about high register usage and I'm worried the constant loads might be causing register spilling. How can I look at the generated PTX assembly to see if those ...
[ { "content": "Hey, I'm working on some CUDA kernels that make heavy use of shared memory and thread barriers. I've been trying to analyze the performance bottlenecks, and I figured looking at the PTX output via ptxas might help. Is there a specific flag I should use to get a verbose listing that shows exactly h...
[ { "content": "I've been working on optimizing a high-throughput histogram kernel for CUDA and I'm wondering how to improve the PTX assembly output. Specifically, I'm dealing with a scenario where I need to aggregate millions of items into bins using atomic operations. The ptxas compiler isn't generating code th...
[ { "content": "I'm working on optimizing some CUDA kernels and I'm curious about PTX assembly. I've been looking into how the compiler translates high-level CUDA code to PTX. Can you help me understand how to read PTX assembly output from ptxas? I'd like to know what information I can extract from it for optimiz...
[ { "content": "Hey, I've been working on optimizing GPU-to-GPU data transfers and I'm curious about the low-level details. How would I write PTX assembly to handle direct peer-to-peer memory copies between two GPUs? Is there a specific instruction or pattern I should be using for this?", "role": "user" }, ...
[ { "content": "I'm trying to optimize a kernel and I want to verify if I'm staying within the hardware limits for registers per block. How can I use ptxas to inspect the generated PTX assembly to see exactly how many registers are being allocated and if there are any warnings about resource usage?", "role": ...
[ { "content": "I'm trying to optimize a CUDA kernel that does matrix multiplication and I want to look at the PTX assembly to see what's going on under the hood. How do I use ptxas to get a detailed view of register allocation? I'm particularly interested in seeing how many registers are being assigned per threa...
[ { "content": "I'm working on optimizing a concurrent hash map for CUDA and need help with PTX assembly. How can I ensure atomic operations in the insertion logic are correctly synchronized without causing race conditions on the GPU?", "role": "user" }, { "content": "To ensure atomic operations in a ...
[ { "content": "I'm working on a CUDA project that involves running multiple independent simulation chains on the GPU. I'm hitting some performance walls and I think digging into the PTX assembly might reveal the issue. Specifically, I want to use ptxas to analyze register usage and see if there's unnecessary ove...
[ { "content": "Hey, I'm trying to dig into the low-level details of a CUDA matrix multiplication kernel. Could you show me what the PTX assembly looks like for the thread indexing logic and the main computation loop? I want to see how ptxas handles the register allocation for the temporary sum and the global mem...
[ { "content": "Hey, I'm working on optimizing some CUDA kernels for particle simulations and I'm hitting a wall with PTX assembly. The kernel launches fine but I'm seeing some weird memory access patterns on the GPU. Have you dealt with cases where the PTX output doesn't match what you expect from the C++ source...
[ { "content": "Hey, I'm trying to understand how to optimize CUDA kernels by looking at their PTX assembly output. Specifically, I'm curious about how the compiler handles shared memory operations and synchronization barriers when translated to PTX. Can you show me what a typical kernel's PTX output looks like a...
[ { "content": "Hey, I'm trying to optimize a CUDA kernel that does a lot of matrix operations and I'm wondering how I can get better insight into what the compiler is actually generating. Is there a way to inspect the PTX assembly output and see what's being optimized? I've heard about ptxas but I'm not sure how...
[ { "content": "hey i'm working on a cuda kernel for pairwise interactions and i'm hitting some performance bottlenecks. i want to dig into the ptx assembly to check register pressure especially around the shared memory reduction part. can you help me understand how to use ptxas to inspect register usage and what...
[ { "content": "I'm trying to optimize a CUDA kernel that handles image processing tasks using shared memory, but I'm seeing some strange performance behavior. I'd like to examine the PTX assembly to understand what the compiler is doing. Can you show me how to compile with ptxas to get detailed register usage in...
[ { "content": "I'm working on some CUDA kernels that are showing performance issues, and I want to dig deeper into what's happening at the PTX level. How can I use ptxas to inspect the generated assembly and identify potential bottlenecks? Specifically, I'm trying to understand register usage and why some of my ...
[ { "content": "Hey, I'm working on a CUDA kernel for mesh refinement that involves a lot of geometric checks. I'm worried the compiler isn't optimizing the angle calculations efficiently. Can you help me understand how to inspect the PTX assembly output using ptxas to see what's actually happening? I'd like to k...
[ { "content": "I'm trying to get precise cycle counts for memory operations in a kernel, but I keep worrying that the compiler is reordering instructions around my clock reads. How do I force ptxas to keep a load instruction exactly where I put it relative to a timestamp read?", "role": "user" }, { "...
[ { "content": "I'm working on some CUDA kernels that do power-of-2 quantization and masking operations. I've noticed the performance isn't great on my GPU and I'm wondering how I could inspect the generated PTX assembly to see what's actually happening under the hood. Does ptxas give me enough detail to understa...
[ { "content": "Hey, I'm trying to optimize a matrix multiplication kernel for a neural network layer and I want to bypass some of the compiler optimizations to see if I can squeeze out more performance. Can you help me write a PTX assembly routine that loads weights into shared memory and performs a dot product?...
[ { "content": "I'm struggling to optimize the inner loop of a reconstruction kernel where I'm pulling projection parameters from constant memory. I've compiled it with ptxas and I'm staring at the PTX assembly, but I'm not sure if I'm reading it correctly. Can you help me identify specific PTX instructions that ...
[ { "content": "I'm trying to understand how the compiler handles grid-stride loops at the assembly level. Is there a way to force ptxas to show me the PTX for a kernel that uses a stride pattern for indexing, so I can verify how the thread bounds are being calculated?", "role": "user" }, { "content":...
[ { "content": "Hey, I've been working on some GPU kernels and I'm trying to understand how PTX assembly gets generated when compiling CUDA code. Can you help me figure out how to inspect the PTX output from ptxas to see what's actually happening under the hood? Specifically, I'm interested in how reduction opera...
[ { "content": "I'm working on optimizing a CUDA kernel and want to examine the PTX assembly generated. How can I use ptxas to inspect the PTX code, and what are some key areas I should focus on to identify performance bottlenecks?", "role": "user" }, { "content": "To optimize a CUDA kernel using PTX ...
[ { "content": "I've been digging into some CUDA kernel performance issues lately and noticed that kernels with heavy modulo arithmetic for index calculations seem to generate some inefficient PTX assembly. When I run ptxas with verbose flags, it shows a lot of register pressure. Is there a specific way to inspec...
[ { "content": "Can you help me understand how to optimize PTX assembly for matrix multiplication kernels? I'm working on a CUDA project where I need to squeeze out maximum performance from the GPU, and I've been reading that hand-written PTX can sometimes beat compiler-generated code. What are the key areas I sh...
[ { "content": "I'm working on optimizing a CUDA kernel that relies heavily on constant memory for grid dimensions and I'm trying to understand the performance implications. When I look at the PTX output, how can I tell if those constant symbols are actually being cached efficiently in the constant cache versus b...
[ { "content": "I'm working on optimizing a matrix transpose kernel and I'm having trouble understanding how to properly use shared memory tiling in PTX assembly. Can you help me understand how to generate efficient PTX code for a 2D transpose operation using shared memory? Specifically, how do I make sure the th...
[ { "content": "Hey, I'm working on optimizing an Equihash mining kernel and I'm curious about how to get better performance out of the PTX assembly. When I compile with ptxas, I'm seeing a lot of register pressure and wondering if there's a way to manually inspect and tweak the generated PTX to reduce register u...
[ { "content": "Hey, I'm working on optimizing some CUDA kernels for a CFD solver and I'm curious about how I could get into the PTX assembly to better understand what's actually happening under the hood. Is there a way to inspect the generated PTX output from ptxas and see what kind of optimizations or issues mi...
[ { "content": "I'm trying to optimize a custom pooling kernel for a neural network layer, and I'm hitting some performance walls. I suspect the compiler isn't handling the loop unrolling for the pooling window correctly. Can you show me how to inspect the PTX assembly generated by ptxas for a kernel that iterate...