updated tooltips, fixed TPCxAI typo, and added link to TCO2 tool

Author: MarcBaeuerle

frontend/src/assets/data.ts

@@ -25,7 +25,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 1,
     "BENCH_MULT/S_MATRIX": 144665461121157,
     "MKEYS/S_SORT": 31157.75,
-    "TCPxAIUCpm@1.0": 67.581
+    "TPCxAIUCpm@10.0": 67.581
   },
   "V100": {
     "YEAR": 2017,
@@ -47,7 +47,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 1,
     "BENCH_MULT/S_MATRIX": 6918619735362,
     "MKEYS/S_SORT": 15580.91,
-    "TCPxAIUCpm@1.0": 52.835
+    "TPCxAIUCpm@10.0": 52.835
   },
   "A100": {
     "YEAR": 2020,
@@ -69,7 +69,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 1,
     "BENCH_MULT/S_MATRIX": 9195571412808,
     "MKEYS/S_SORT": 25823.81,
-    "TCPxAIUCpm@1.0": 46.839
+    "TPCxAIUCpm@10.0": 46.839
   },
   "B200": {
     "YEAR": 2024,
@@ -91,7 +91,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 1,
     "BENCH_MULT/S_MATRIX": 256410256410256,
     "MKEYS/S_SORT": 39145.8,
-    "TCPxAIUCpm@1.0": 80.162
+    "TPCxAIUCpm@10.0": 80.162
   },
   "A40": {
     "YEAR": 2020,
@@ -113,7 +113,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 1,
     "BENCH_MULT/S_MATRIX": 10652463382157,
     "MKEYS/S_SORT": 13891.55,
-    "TCPxAIUCpm@1.0": 72.435
+    "TPCxAIUCpm@10.0": 72.435
   },
   "2080ti": {
     "YEAR": 2018,
@@ -135,7 +135,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 1,
     "BENCH_MULT/S_MATRIX": 5820721769499,
     "MKEYS/S_SORT": 10282.09,
-    "TCPxAIUCpm@1.0": 48.122
+    "TPCxAIUCpm@10.0": 48.122
   },
   "P100": {
     "YEAR": 2016,
@@ -157,7 +157,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 0,
     "BENCH_MULT/S_MATRIX": 0,
     "MKEYS/S_SORT": 0,
-    "TCPxAIUCpm@1.0": 0
+    "TPCxAIUCpm@10.0": 0
   },
   "K80": {
     "YEAR": 2014,
@@ -179,7 +179,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 0,
     "BENCH_MULT/S_MATRIX": 0,
     "MKEYS/S_SORT": 0,
-    "TCPxAIUCpm@1.0": 0
+    "TPCxAIUCpm@10.0": 0
   },
   "T4": {
     "YEAR": 2018,
@@ -201,7 +201,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 0,
     "BENCH_MULT/S_MATRIX": 1799532121648,
     "MKEYS/S_SORT": 3984.64,
-    "TCPxAIUCpm@1.0": 0
+    "TPCxAIUCpm@10.0": 0
   },
   "A30": {
     "YEAR": 2021,
@@ -223,7 +223,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 0,
     "BENCH_MULT/S_MATRIX": 0,
     "MKEYS/S_SORT": 0,
-    "TCPxAIUCpm@1.0": 0
+    "TPCxAIUCpm@10.0": 0
   },
   "L40": {
     "YEAR": 2022,
@@ -245,7 +245,7 @@ const CPU_DATA: CPUs = {
     "HPI_AVAILABLE": 0,
     "BENCH_MULT/S_MATRIX": 22154527831626,
     "MKEYS/S_SORT": 8367.6,
-    "TCPxAIUCpm@1.0": 0
+    "TPCxAIUCpm@10.0": 0
   }
 }
 

frontend/src/partials/BenchmarkSettings.tsx

@@ -13,10 +13,10 @@ import { ListItem, ListItemWithSearch } from "../utility/ListItems";
 import { WORKLOAD_EXPLANATIONS, SCALING_EXPLANATIONS } from "../utility/descriptions";
 import UtilizationInput from "../utility/UtilizationInput.js";
 
-export const WORKLOAD_TYPES = ['FP16', 'FP32', 'FP64', 'BENCH_MULT/S_MATRIX', 'MKEYS/S_SORT', 'TCPxAIUCpm@1.0'] as const;
+export const WORKLOAD_TYPES = ['FP16', 'FP32', 'FP64', 'BENCH_MULT/S_MATRIX', 'MKEYS/S_SORT', 'TPCxAIUCpm@10.0'] as const;
 export type WorkloadType = typeof WORKLOAD_TYPES[number];
 
-export const SCALING_TYPES = ['None', 'Utilization', 'Emissions'] as const;
+export const SCALING_TYPES = ['Workload', 'Utilization', 'Emissions'] as const;
 export type ScalingType = typeof SCALING_TYPES[number];
 
 export const MEMORY_TYPES = ['HBM2', 'HBM3', 'GDDR6', 'GDDR5'] as const;
@@ -50,7 +50,7 @@ export interface CPUEntry {
   HPI_AVAILABLE: number,
   'BENCH_MULT/S_MATRIX': PerformanceType,
   'MKEYS/S_SORT': PerformanceType,
-  'TCPxAIUCpm@1.0': PerformanceType
+  'TPCxAIUCpm@10.0': PerformanceType
 }
 
 type PerformanceKeys = {
@@ -63,13 +63,13 @@ export interface WorkloadMappingType {
   FP64: PerformanceKeys;
   'BENCH_MULT/S_MATRIX': PerformanceKeys;
   'MKEYS/S_SORT': PerformanceKeys;
-  'TCPxAIUCpm@1.0': PerformanceKeys;
+  'TPCxAIUCpm@10.0': PerformanceKeys;
 }
 
 export const WORKLOAD_MAPPING: WorkloadMappingType = {
   'BENCH_MULT/S_MATRIX': 'BENCH_MULT/S_MATRIX',
   'MKEYS/S_SORT': 'MKEYS/S_SORT',
-  'TCPxAIUCpm@1.0': 'TCPxAIUCpm@1.0',
+  'TPCxAIUCpm@10.0': 'TPCxAIUCpm@10.0',
   FP16: 'FP16',
   FP32: 'FP32',
   FP64: 'FP64',

frontend/src/utility/descriptions.ts

@@ -1,17 +1,23 @@
 // Description of all the tooltips (D_ prefix)
-
-const D_SPECRATE = 'Measures multi-threaded performance, simulating environments such as databases and web servers.¹'
-const D_SPECSPEED = 'Evaluates single-threaded performance for general purpose tasks such as data compression and text processing.¹'
-const D_SORTING = 'A common yet computationally challenging task that is difficult to fully parallelize. A vector of four billion random integer values (uint32_t, 16GB) is generated, then the time to sort the entire vector is measured'
-const D_TPCH = 'Assesses analytical database performance by running TPC-H workloads with a scale factor of 10 and 25 read-only query streams on the open-source in-memory database system Hyrise.²˒³'
-
-const D_SCALING_NONE = 'The utilization and emissions stay the same across both configurations'
-const D_SCALING_UTILIZATION = 'The utilization of the stronger hardware is scaled down to match the output of the weaker hardware'
+const D_SCALING_WORKLOAD = 'The workload scales proportionally to the increase in performance, resulting in the same utilization level.'
+const D_SCALING_UTILIZATION = 'The utilization of the stronger hardware is scaled down to match the output of the weaker hardware.'
 const D_SCALING_EMISSIONS = 'The current server’s operational carbon is scaled according to the relative performance indicator to reflect replacing multiple instances with one new server.';
 
 export const D_EMBODIED_CARBON = 'CO2 and other greenhouse gas emissions during production, transport, and end-of-life of server components.'
 export const D_OPERATIONAL_CARBON = 'CO2 and other greenhouse gas emissions resulting from the energy consumption of servers during their lifetime.'
 
+const D_FP16 = 'Measures half-precision (16-bit) floating point performance, commonly used in deep learning training and inference.';
+
+const D_FP32 = 'Measures single-precision (32-bit) floating point performance, representing general-purpose GPU compute workloads such as scientific simulations, graphics, and machine learning tasks.';
+
+const D_FP64 = 'Measures double-precision (64-bit) floating point performance, critical for high-performance computing workloads such as physics simulations, climate modeling.';
+
+const D_MATRIX_MULTIPLICATION = 'A core operation in scientific computing and machine learning, reflecting sustained floating-point throughput under highly parallel GPU workloads.'
+
+const D_TPCXAI = 'An industry-standard benchmark for end-to-end AI workloads. Only GPU-accelerated use cases are executed, with performance measured at a given scale factor of 10.'
+
+const D_SORTING = 'A large-scale data processing workload using Radix sort, highlighting GPU performance for memory-intensive and highly parallel sorting operations.'
+
 // order of these matter
-export const WORKLOAD_EXPLANATIONS: string[] = [ D_SPECRATE, D_SPECSPEED, D_SORTING, D_TPCH ]
-export const SCALING_EXPLANATIONS: string[] = [ D_SCALING_NONE, D_SCALING_UTILIZATION, D_SCALING_EMISSIONS ];
+export const WORKLOAD_EXPLANATIONS: string[] = [ D_FP16, D_FP32, D_FP64, D_MATRIX_MULTIPLICATION, D_SORTING, D_TPCXAI ]
+export const SCALING_EXPLANATIONS: string[] = [ D_SCALING_WORKLOAD, D_SCALING_UTILIZATION, D_SCALING_EMISSIONS ];